Below we provide a chronological list of papers on GSO
Note to the reader: If you find any GSO paper is missing in the list, please email the details to kkaipa@odu.edu with subject line as "GSO Paper"
2023
Aparajita Chowdhury, Debashis De, RGSO-UAV: Reverse Glowworm Swarm Optimization inspired UAV path-planning in a 3D dynamic environment, Ad Hoc Networks, Volume 140, 2023, 103068, ISSN 1570-8705, https://doi.org/10.1016/j.adhoc.2022.103068.
Bharany, S., Sharma, S., Alsharabi, N., Tag Eldin, E., & Ghamry, N. A. (2023). Energy-efficient clustering protocol for underwater wireless sensor networks using optimized glowworm swarm optimization. Frontiers in Marine Science, 10, 1117787. https://doi.org/10.3389/fmars.2023.1117787
Shahrom, M. A. M., Zainal, N., Aziz, M. F. A., & Mostafa, S. A. A Review of Glowworm Swarm Optimization Meta-Heuristic Swarm Intelligence and its Fusion in Various Applications.
Aparajita Chowdhury, Debashis De, RGSO-UAV: Reverse Glowworm Swarm Optimization inspired UAV path-planning in a 3D dynamic environment, Ad Hoc Networks, Volume 140, 2023, 103068, ISSN 1570-8705, https://doi.org/10.1016/j.adhoc.2022.103068.
Ramesh, P. S., Srivani, P., Mahdal, M., Sivaranjani, L., Abidin, S., Kagi, S., & Elangovan, M. (2023). Contextual Cluster-Based Glow-Worm Swarm Optimization (GSO) Coupled Wireless Sensor Networks for Smart Cities. Sensors, 23(14), 6639. MDPI AG. Retrieved from http://dx.doi.org/10.3390/s23146639
Vaissnave, V., Deepalakshmi, P. Modeling of automated glowworm swarm optimization based deep learning model for legal text summarization. Multimed Tools Appl 82, 17175–17194 (2023). https://doi.org/10.1007/s11042-022-14171-6
R. Daniel et al., "Ensemble Learning With Tournament Selected Glowworm Swarm Optimization Algorithm for Cyberbullying Detection on Social Media," in IEEE Access, vol. 11, pp. 123392-123400, 2023, doi: 10.1109/ACCESS.2023.3326948.
Si, T. 2D MRI registration using glowworm swarm optimization with partial opposition-based learning for brain tumor progression. Pattern Anal Applic 26, 1265–1290 (2023). https://doi.org/10.1007/s10044-023-01153-z
Mande Praveen & Venkata Siva Krishna Rao Gadi (2023) Hybrid Emperor Penguin Glowworm Swarm Optimizer for Techno-Economical Optimization with Demand Side Management in Microgrid using Multi-Objective Function, International Journal of Ambient Energy, DOI: 10.1080/01430750.2023.2277302
E Kiruba Nesamalar, J SatheeshKumar & T Amudha (2023) Efficient DNA-ligand interaction framework using fuzzy C-means clustering based glowworm swarm optimization (FCMGSO) method, Journal of Biomolecular Structure and Dynamics, 41:13, 6249-6261, DOI: 10.1080/07391102.2022.2105958
K. Priyadarshini, Manjunathan Alagarsamy, K. Sangeetha & Dineshkumar Thangaraju (2023) Hybrid RNN-FFBPNN Optimized with Glowworm Swarm Algorithm for Lung Cancer Prediction, IETE Journal of Research, DOI: 10.1080/03772063.2023.2233465
Mehta, Diya; Sharma, Ashish; Ravichandran, Ritika (2023). A Review on Robotic Swarm Optimization Techniques. TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.23675199.v1
H. Wang, Y. Wu, Y. Liu and W. Liu, "A Cross-Layer Framework for LPWAN Management based on Fuzzy Cognitive Maps with Adaptive Glowworm Swarm Optimization," 2023 IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, United Kingdom, 2023, pp. 1-6, doi: 10.1109/WCNC55385.2023.10119004.
Zhu, J., Ma, Y., Huang, J., & Wang, L. (2023). Image Segmentation Combining Pulse Coupled Neural Network and Adaptive Glowworm Algorithm. Information Technology and Control, 52(2), 487-499.
Selvanambi, R., Natarajan, J., Karuppiah, M. et al. Retraction Note: Lung cancer prediction using higher-order recurrent neural network based on glowworm swarm optimization. Neural Comput & Applic 35, 3571 (2023). https://doi.org/10.1007/s00521-022-08142-z
Aparajita Chowdhury, Debashis De, Anindita Raychaudhuri, Mohana Bakshi, Corrigendum to Energy-Efficient Coverage Optimization in Wireless Sensor Networks based on Voronoi-Glowworm Swarm Optimization-K-means algorithm [AdHoc Networks Volume 122 (November 2021) 102660], Ad Hoc Networks, Volume 139, 2023, 102907, ISSN 1570-8705,
https://doi.org/10.1016/j.adhoc.2022.102907.
2022
Abunadi, I.; Albraikan, A.A.; Alzahrani, J.S.; Eltahir, M.M.; Hilal, A.M.; Eldesouki, M.I.; Motwakel, A.; Yaseen, I. An Automated Glowworm Swarm Optimization with an Inception-Based Deep Convolutional Neural Network for COVID-19 Diagnosis and Classification. Healthcare 2022, 10, 697. https://doi.org/10.3390/healthcare10040697
Gao, B., Shen, W., Dai, Y. and Ye, Y.T. (2022), "Parameter tuning of auto disturbance rejection controller based on improved glowworm swarm optimization algorithm", Assembly Automation, Vol. 42 No. 4, pp. 427-444. https://doi.org/10.1108/AA-12-2021-0188
P. Upadhyay, V. Marriboina, S. Kumar, S. Kumar and M. A. Shah, "An Enhanced Hybrid Glowworm Swarm Optimization Algorithm for Traffic-Aware Vehicular Networks," in IEEE Access, vol. 10, pp. 110136-110148, 2022, doi: 10.1109/ACCESS.2022.3211653.
T. Akhtar, N. G. Haider, and S. M. Khan, “A Comparative Study of the Application of Glowworm Swarm Optimization Algorithm with other Nature-Inspired Algorithms in the Network Load Balancing Problem”, Eng. Technol. Appl. Sci. Res., vol. 12, no. 4, pp. 8777–8784, Aug. 2022.
Acharya, S., Sivarajan, G., Kumar, D.V. and Srikrishna, S. (2022), "Modeling combined economic emission dispatch for renewable energy system via Levy-based glowworm swarm optimization", Kybernetes, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/K-08-2021-0728
Kiruba Nesamalar, E., SatheeshKumar, J., & Amudha, T. (2022). Efficient DNA-ligand interaction framework using fuzzy C-means clustering based glowworm swarm optimization (FCMGSO) method. Journal of Biomolecular Structure and Dynamics, 1-13.
Reddy V, P G. Revised beaconing glowworm swarm optimization ant colony optimization algorithm to localize nodes and optimize the energy consumed by nodes in wireless sensor networks. Concurrency Computat Pract Exper. 2022;34:e6013. https:// doi.org/10.1002/cpe.6013
Y. Tian, J. Zhang, Q. Chen and Z. Liu, "A Novel Selective Ensemble Learning Method for Smartphone Sensor-Based Human Activity Recognition Based on Hybrid Diversity Enhancement and Improved Binary Glowworm Swarm Optimization," in IEEE Access, vol. 10, pp. 125027-125041, 2022, doi: 10.1109/ACCESS.2022.3225652.
2021
Kumar, K., & Arya, R. (2021). A hybrid approach for cluster head determination of unmanned aerial vehicle in flying ad-hoc networks. International Journal of System Assurance Engineering and Management, 1-15.
Rapanaki, E., Psychas, I. D., Marinaki, M., & Marinakis, Y. (2021). A Glowworm Swarm Optimization Algorithm for the Multi-Objective Energy Reduction Multi-Depot Vehicle Routing Problem. In Handbook of AI-based Metaheuristics (pp. 341-360). CRC Press.
Aparajita Chowdhury, Debashis De, Energy-efficient coverage optimization in wireless sensor networks based on Voronoi-Glowworm Swarm Optimization-K-means algorithm, Ad Hoc Networks, Volume 122, 2021, 102660, ISSN 1570-8705, https://doi.org/10.1016/j.adhoc.2021.102660
Balasubramanian, K., Ananthamoorthy, N.P. Improved adaptive neuro-fuzzy inference system based on modified glowworm swarm and differential evolution optimization algorithm for medical diagnosis. Neural Comput & Applic 33, 7649–7660 (2021). https://doi.org/10.1007/s00521-020-05507-0
Yuan Cao, Ying-Xin Kou, An Xu, Zhi-Fei Xi, "Target Threat Assessment in Air Combat Based on Improved Glowworm Swarm Optimization and ELM Neural Network", International Journal of Aerospace Engineering, vol. 2021, Article ID 4687167, 19 pages, 2021. https://doi.org/10.1155/2021/4687167
D. Laxma Reddy, Puttamadappa C., H.N. Suresh, Merged glowworm swarm with ant colony optimization for energy efficient clustering and routing in Wireless Sensor Network, Pervasive and Mobile Computing, Volume 71, 2021, 101338, ISSN 1574-1192, https://doi.org/10.1016/j.pmcj.2021.101338
Mohammad Alshehri, An Efficient Smartphone Assisted Indoor Localization with Tracking Approach using Glowworm Swarm Optimization Algorithm, Journal of Cybersecurity and Information Management, Vol. 6 , No. 2 , (2021) : 101-107 (Doi : https://doi.org/10.54216/JCIM.060203
Yaping Li, "Glowworm Swarm Optimization Algorithm- and K-Prototypes Algorithm-Based Metadata Tree Clustering", Mathematical Problems in Engineering, vol. 2021, Article ID 8690418, 10 pages, 2021. https://doi.org/10.1155/2021/8690418
S. Zhang et al., "Ridge Regression Based on Glowworm Swarm Optimization Algorithm with t-Distribution Parameters," 2021 IEEE 11th International Conference on Electronics Information and Emergency Communication (ICEIEC)2021 IEEE 11th International Conference on Electronics Information and Emergency Communication (ICEIEC), Beijing, China, 2021, pp. 1-4, doi: 10.1109/ICEIEC51955.2021.9463816.
Kapoor, R., Sharma, S. Glowworm Swarm Optimization (GSO) based energy efficient clustered target coverage routing in Wireless Sensor Networks (WSNs). Int J Syst Assur Eng Manag (2021). https://doi.org/10.1007/s13198-021-01398-z
K. M. Kanaujia, A. Srigyan, U. Mishra, S. Sirvi and S. J. Nanda, "Robust Automatic Clustering Based on Local Density with Glowworm Swarm Optimization," 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2021, pp. 1-7, doi: 10.1109/ICCCNT51525.2021.9579894.
B. P. Alapatt, F. M. Philip and A. Jims, "Oppositional Glowworm Swarm based Vector Quantization Technique for Image Compression in Fiber Optic Communication," 2021 2nd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS), Ernakulam, India, 2021, pp. 198-205, doi: 10.1109/ACCESS51619.2021.9563298
2020
Mukhedkar, M. M., & Kolekar, U. (2020). E‐TDGO: An encrypted trust‐based dolphin glowworm optimization for secure routing in mobile ad hoc network. International Journal of Communication Systems, 33(7), e4252
Zhu, X., Ni, Z., Ni, L. et al. Ensemble pruning of ELM via migratory binary glowworm swarm optimization and margin distance minimization. Neural Process Lett 52, 2043–2067 (2020).
2019
Song, L., Zhao, L., and Ye, J. DV-Hop Node Location Algorithm Based on GSO in Wireless Sensor Networks. Journal of Sensors, 2019.
Liu, C., Wang, Z., and Guo, Y. Optimal allocation strategy for temperature and humidity based on improved glowworm swarm optimization algorithm. Journal of Physics: Conference Series, (Vol. 1168, No. 5, p. 052055). February 2019, IOP Publishing.
Lu, M., Wang, H., Lin, J., Yi, A., Gu, Y., and Zhao, D. A nonlinear Wiener system identification based on improved adaptive step-size glowworm swarm optimization algorithm for three-dimensional elliptical vibration cutting. The International Journal of Advanced Manufacturing Technology, 1-13, 2019.
Liu, Z., Guo, S., Wang, L., Du, B., and Pang, S. A multi-objective service composition recommendation method for individualized customer: Hybrid MPA-GSO-DNN model. Computers and Industrial Engineering, 128, 2019, 122-134.
Khan, A., Aftab, F., Zhang, Z. Self-organization based clustering scheme for FANETs using Glowworm Swarm Optimization. Physical Communication, 36, 100769, 2019.
Rajasekhar, B., Kamaraju, M., Sumalatha, V. Glowworm swarm based fuzzy classifier with dual features for speech emotion recognition. Evolutionary Intelligence, 2019, pp. 1-15.
Puttamadappa, C., Parameshachari, B. D. Demand side management of small scale loads in a smart grid using glowworm swarm optimization technique. Microprocessors and Microsystems, 71, 102886, 2019.
Sharma, P., Nair, V. G. Tuning of PID Controller using Glowworm Swarm Optimisation on a Satellite Attitude Control Reaction Wheel. International Journal of Recent Technology and Engineering, 8(2), 2019, pp. 4205-4210.
Zhang, Z., Zhu, W., Zhong, W., & Zhuang, Y. (2019, December). Load Forecasting model of Mobile Cloud Computing Based on Glowworm Swarm Optimization LSTM Network. In Proceedings of the 2019 7th International Conference on Information Technology: IoT and Smart City (pp. 113-119).
Salkuti, S. R., Kim, S. C. Congestion Management Using Multi-Objective Glowworm Swarm Optimization Algorithm. Journal of Electrical Engineering Technology, 2019, pp. 1-11.
Salkuti, S. R. Optimal power flow using multi-objective glowworm swarm optimization algorithm in a wind energy integrated power system. International Journal of Green Energy, 2019, pp. 1-15.
2018
J. Thomas and D. Ghose. A GSO-Based Swarm Algorithm for Odor Source Localization in Turbulent Environments, In Handbook of Approximation Algorithms and Metaheuristics: Contemporary and Emerging Applications, Volume 2, Pages 711-738, Chapman and Hall/CRC Press, 2018.
A. Turgeman, and H. Werner. Multiple Source Seeking using Glowworm Swarm Optimization and Distributed Gradient Estimation. In 2018 IEEE American Control Conference (ACC), (pp. 3558-3563).
Isimeto, R., Sennaike, O. A., Alienyi, D. C., and Uwadia, C. O. An Adaptive Radial Basis Function Neural Network Glowworm Swarm Optimization for Time Series Forecasting. In Proceedings of the 2nd International Conference on Intelligent Systems, Metaheuristics and Swarm Intelligence. (pp. 98-103). March 2018. ACM.
Li, Y., Ni, Z., Jin, F., Li, J., and Li, F. (2018). Research on clustering method of improved glowworm algorithm based on good-point set. Mathematical Problems in Engineering, 2018.
Liang, B. and Zhang, T. Numerical Optimization and Cyber-Physical-Social Computing for Vibrations of the Elliptical Treadmill Based on GSO-BPNN Model. IEEE Access, 6, 10886-10895, 2018.
Zhao-Ming, L., Fan, Z., Wen-Zhe, L., and Peng-Cheng, W. An Improved Glowworm Swarm Optimization for Vehicle Scheduling in the Iron and Steel Plant Logistics. 24th International Conference on Automation and Computing (ICAC), (pp. 1-6), September 2018. IEEE.
Zhou, J., and Dong, S. Hybrid glowworm swarm optimization for task scheduling in the cloud environment. Engineering Optimization, 50(6), 2018, 949-964.
Dong, W., Zhou, K., Zhang, G., and Chao, H. C. Modified Discrete Glowworm Swarm Optimization Algorithm Based on Time Window Division for Multi-objective VRPTW. Journal of Internet Technology, 19(1), 2018, 001-013.
Rewadkar, D., Doye, D. FGWSOTAR: Fractional glowworm swarm optimization for traffic aware routing in urban VANET. International Journal of Communication Systems, 31(1), e3430, 2018.
Goel, U., Varshney, S., Jain, A., Maheshwari, S., Shukla, A. Three Dimensional Path Planning for UAVs in Dynamic Environment using Glowworm Swarm Optimization. Procedia computer science, 133, 2018, pp. 230-239.
Pandey, P., Shukla, A., Tiwari, R. Three-dimensional path planning for unmanned aerial vehicles using glowworm swarm optimization algorithm. International Journal of System Assurance Engineering and Management,9(4), 2018, pp. 836-852.
Si, T., De, A., Bhattacharjee, A. K. MRI brain lesion segmentation using generalized opposition-based glowworm swarm optimization. International Journal of Wavelets, Multiresolution and Information Processing, 14(05), 1650041, 2016.
Selvanambi, R., Natarajan, J., Karuppiah, M., Islam, S. H., Hassan, M. M., Fortino, G. Lung cancer prediction using higher-order recurrent neural network based on glowworm swarm optimization. Neural Computing and Applications, 2018, pp. 1-14.
Karthikeyan, R., Alli, P. Feature selection and parameters optimization of support vector machines based on hybrid glowworm swarm optimization for classification of diabetic retinopathy. Journal of Medical Systems, 42(10), 195, 2018.
Wang, X., Yang, K., Zhou, X. Two-stage glowworm swarm optimisation for economical operation of hydropower station. IET Renewable Power Generation, 12(9), 2018, pp. 992-1003.
Liu, F., Zhong, D. GSOS-ELM: An RFID-Based Indoor Localization System Using GSO Method and Semi-Supervised Online Sequential ELM. Sensors, 18(7), 1995, 2018.
Xiao, P., Gao, H., Shi, P., Niu, L. Research on air suspension with novel dampers based on glowworm swarm optimization proportional integral derivative algorithm. Advances in Mechanical Engineering, 10(8), 1687814018791710, 2018.
2017
Isimeto, R., Yinka-Banjo, C., Uwadia, C. O., and Alienyi, D. C. An enhanced clustering analysis based on glowworm swarm optimization. In IEEE 4th International Conference on Soft Computing and Machine Intelligence (ISCMI), (pp. 42-49). November 2017.
Chen, X., Zhou, Y., Tang, Z., and Luo, Q. A hybrid algorithm combining glowworm swarm optimization and complete 2-opt algorithm for spherical travelling salesman problems. Applied Soft Computing, 58, 104-114, 2017.
Zainal, N., Zain, A. M., Sharif, S., Hamed, H. N. A., and Yusuf, S. M. An integrated study of surface roughness in EDM process using regression analysis and GSO algorithm. Journal of Physics: Conference Series, (Vol. 892, No. 1, p. 012002). September 2017, IOP Publishing.
Yang, X., Zen, J., and Zhang, Y. Apply Hybrid-GSO to Solve Whole-set Orders Scheduling Problem with Setup Time. Journal Of Applied Science and Engineering, 20(2), 2017, 271-276.
Burugari, V. K., Periasamy, P. S. Multi QoS constrained data sharing using hybridized pareto-glowworm swarm optimization. Cluster Computing, 2017, pp. 1-9.
Li, H. L., Lu, Z. R., Liu, J. K., Huang, M. Precise identification of moving vehicular parameters based on improved glowworm swarm optimization algorithm. Inverse Problems in Science and Engineering, 25(5), 2017, pp. 694-709.
Ding, S., An, Y., Zhang, X., Wu, F., Xue, Y. Wavelet twin support vector machines based on glowworm swarm optimization. Neurocomputing, 225, 2017, pp. 157-163.
Ding, L., Shan, W., Zhou, C., Xi, W. Dynamic Identification for Industrial Robot Manipulators Based on Glowworm Optimization Algorithm. In International Conference on Intelligent Robotics and Applications, August 2017, pp. 789-799. Springer, Cham.
2016
A. Ray and D. De. An energy efficient sensor movement approach using multi-parameter reverse glowworm swarm optimization algorithm in mobile wireless sensor network. Simulation Modelling Practice and Theory, 62:117136, 2016.
J. Wang, L. Dong-Xu, and J. Jiang. Integrated control of thermally induced vibration and quasistatic deformation of space truss. Journal of Dynamic Systems, Measurement, and Control, 2016.
Zainal, N., Zain, A. M., Radzi, N. H. M., and Othman, M. R. Glowworm swarm optimization (GSO) for optimization of machining parameters. Journal of Intelligent Manufacturing, 27(4), 2016, 797-804.
Hou, W., Jin, Y., Zhu, C., Li, G. A novel maximum power point tracking algorithm based on glowworm swarm optimization for photovoltaic systems. International Journal of Photo Energy, 2016.
Jiang, H., Dong, Y. A nonlinear support vector machine model with hard penalty function based on glowworm swarm optimization for forecasting daily global solar radiation. Energy conversion and management, 126, 2016, pp. 991-1002.
I. Aljarah and S.A. Ludwig. A scalable mapreduce-enabled glowworm swarm optimization approach for high dimensional multimodal functions. International Journal of Swarm Intelligence Research, 7(1):32–54, 2016.
Z. Kang, X. He, and J. Liu. X-ray pulsars time delay estimation using gso-based bispectral feature points. Optik-International Journal for Light and Electron Optics, 127(12):5050–5054, 2016.
Z. Li and X. Huang. Glowworm swarm optimization and its application to blind signal separation. Mathematical Problems in Engineering, 2016, 2016.
M. Marinaki and Y. Marinakis. A glowworm swarm optimization algorithm for the vehicle routing problem with stochastic demands. Expert Systems with Applications, 46:145–163, 2016.
K.C. Meher, R.K. Swain, and C.K. Chanda. Dynamic economic dispatch using glowworm swarm optimization technique. International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, 9(9):1039–1044, 2016.
S.S. Reddy and C.S. Rathnam. Optimal power flow using glowworm swarm optimization. International Journal of Electrical Power and Energy Systems, 80:128–139, 2016.
M. Senanayake, I. Senthooran, J.C. Barca, H. Chung, J. Kamruzzaman, and M. Murshed. Search and tracking algorithms for swarms of robots: A survey. Robotics and Autonomous Systems, 75, Part B:422–434, 2016.
2015
Z. Chen, X. Li, B. Yang, and Q. Zhang. A self-adaptive wireless sensor network coverage method for intrusion tolerance based on trust value. Journal of Sensors, 2015, 2015."
H. Cui, J. Feng, J. Guo, and T. Wang. A novel single multiplicative neuron model trained by an improved glowworm swarm optimization algorithm for time series prediction. Knowledge-Based Systems, 88:195–209, 2015.
W. Dong, K. Zhou, Q. Fu, and Y. Duan. Bio-Inspired Computing - Theories and Applications: 10th International Conference, BIC-TA 2015 Hefei, China, September 25–28, 2015, Proceedings, chapter Adaptive Neighborhood Search’s DGSO Applied to Travelling Saleman Problem, pages 125–137. Springer Berlin Heidelberg, Berlin, Heidelberg, 2015.
P. Kavipriya. Ovsf dynamic code allocation quality based glowworm swarm optimization approach in wcdm. Indian Journal of Science and Technology, 8(12), 2015.
T. Liang, C. Qiang, N. Yurong, Y. Suhua, and S. Guofa. Adaptive control of mechanical servo system with glowworm swarm friction identification. In Proceedings of the Chinese Control Conference, pages 3132–3138, July 2015.
R. Mageshvaran and T. Jayabarathi. GSO based optimization of steady state load shedding in power systems to mitigate blackout during generation contingencies. Ain Shams Engineering Journal, 6(1):145–160, 2015.
H. Pubo and W. Yu. Nonlinear blind source separation algorithm using glowworm swarm optimization with baffle effect. Telecommunications Science, 31(9):2015213, 2015.
K. Pushpalatha and V.S. Ananthanarayana. A new glowworm swarm optimization based clustering algorithm for multimedia documents. In Proceedings of the IEEE International Symposium on Multimedia, pages 262–265, Dec 2015.
B. Raman and S. Subramani. An efficient specific update search domain based glowworm swarm optimization for test case prioritization. International Arab Journal of Information Technology, 12, 2015.
A. Singh and K. Deep. New variants of glowworm swarm optimization based on step size. International Journal of System Assurance Engineering and Management, 6(3):286–296, 2015.
Z. Tang and Y. Zhou. A glowworm swarm optimization algorithm for uninhabited combat air vehicle path planning. Journal of Intelligent Systems, 24(1):69–83, 2015.
V. Yepes, J.V. Marti, and T. Garcia-Segura. Cost and co2 emission optimization of precastprestressed concrete u-beam road bridges by a hybrid glowworm swarm algorithm. Automation in Construction, 49, Part A:123–134, 2015.
H. Zhang, Y. Liu, N.N. Xiong, M. Imran, and A.V. Vasilakos. An improved similarity based adaptive step size glowworm algorithm. Journal of Internet Technology, 16(5):905–914, 2015.
X. Zhao, S. Chen, and Y. Sheng. Research on the problem of the shortest path based on the glowworm swarm optimization algorithm. In Proceedings of the International Conference of Transportation Professionals, 2015.
G.-D. Zhou, T.-H. Yi, H. Zhang, and H.-N. Li. Optimal sensor placement under uncertainties using a nondirective movement glowworm swarm optimization algorithm. Smart Structures and Systems, 16(2):243–262, 2015.
Y. Zhou, G. Zhou, and J. Zhang. A hybrid glowworm swarm optimization algorithm to solve constrained multimodal functions optimization. Optimization, 64(4):1057–1080, 2015.
2014
N. Al-Madi, I. Aljarah, and S.A. Ludwig. Parallel glowworm swarm optimization clustering algorithm based on mapreduce. In Proceedings of the IEEE International Symposium on Swarm Intelligence, pages 1–8, Dec 2014
S. Chetty and A.O. Adewumi. Comparison study of swarm intelligence techniques for the annual crop planning problem. IEEE Transactions on Evolutionary Computation, 18(2):258–268, 2014.
M.S. Couceiro, P.A. Vargas, R.P. Rocha, and N.M.F. Ferreira. Benchmark of swarm robotics distributed techniques in a search task. Robotics and Autonomous Systems, 62(2):200–213, 2014.
M. Du, X. Lei, and Z. Wu. A simplified glowworm swarm optimization algorithm. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 2861–2868, July 2014.
D.N. Jayakumar and P. Venkatesh. Glowworm swarm optimization algorithm with topsis for solving multiple objective environmental economic dispatch problem. Applied Soft Computing, 23(0):375–386, 2014.
H. Jiang and X. Tang. Polarimetric mimo radar target detection based on glowworm swarm optimization algorithm. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pages 805–809, May 2014.
P. Manimaran andV. Selladurai.Glowworm swarm optimisation algorithm for nonlinear fixed charge transportation problem in a single stage supply chain network. International Journal of Logistics Economics and Globalisation, 6(1):42–55, 2014.
K.C. Meher, R.K. Swain, and C.K. Chanda. Modified gso for combined economic emission load dispatch with valve-point effects. In Proceedings of the International Conference on Advances in Electronics, Computers and Communications, pages 1–6, Oct 2014.
A. Ouyang, L. Liu, G. Yue, X. Zhou, and K. Li. Bfgs-gso for global optimization problems. Journal of Computers, 9(4), 2014.
D. Pengzhen, T. Zhenmin, and S. Yan. A quantum glowworm swarm optimization algorithm based on chaotic sequence. International Journal of Control and Automation, 7(9):165–178, 2014.
J.-S.Wang, S. Han, andN.-N. Shen. Improved gso optimized esn soft-sensor model of flotation process based on multisource heterogeneous information fusion. The ScientificWorld Journal, 2014, 2014.
Y. Zhou, Y.Wang, S. He, and J.Wu. A novel double glowworm swarm co-evolution optimization algorithm based levy flights. AppliedMathematics and Information Sciences, 8(1L):355–361, 2014.
2013
I. Aljarah and S.A. Ludwig. A mapreduce based glowworm swarm optimization approach for multimodal functions. In Proceedings of the IEEE Symposium on Swarm Intelligence, pages 22–31, April 2013.
I. Aljarah and S.A. Ludwig. A new clustering approach based on glowworm swarm optimization. In Proceedings of the IEEE Congress on Evolutionary Computation, pages 2642–2649, June 2013.
L. He,X. Tong, and S.Huang. Glowworm swarm optimization algorithm based on hierarchical multi-subgroups. Journal of Information and Computational Science, 10(4):1245–1251, 2013.
L. He, X. Tong, S. Huang, and Q. Wang. Glowworm swarm optimization algorithm with improved movement pattern. In Proceedings of the International Conference on Intelligent Networks and Intelligent Systems, pages 43–46, Nov 2013.
P.P. Menon and D. Ghose. Boundary mapping of 3-dimensional regions. In Proceedings of the American Control Conference, pages 2984–2989, June 2013.
Y. Mo, F. Liu, and Y. Ma. Intelligent Computing Theories: 9th International Conference, ICIC 2013, Nanning, China, July 28–31, 2013. Proceedings, chapter Application of GSO Algorithm to the Parameter Estimation of Option Pricing Model, pages 199–206. Springer Berlin Heidelberg, Berlin, Heidelberg, 2013.
Z. Tang, Y. Zhou, and X. Chen. An improved glowworm swarm optimization algorithm based on parallel hybrid mutation. In D.-S. Huang, K.-H. Jo, Y.-Q. Zhou, and K. Han, editors, Intelligent Computing Theories and Technology, volume 7996 of Lecture Notes in Computer Science, pages 198–206. Springer Berlin Heidelberg, 2013.
Z. Yu and X. Yang. Full glowworm swarm optimization algorithm for whole-set orders scheduling in single machine. The Scientific World Journal, 2013, 2013.
Q. Zhou, Y. Zhou, and X. Chen. Intelligent Computing Theories and Technology: 9th International Conference, ICIC 2013, Nanning, China, July 28–31, 2013. Proceedings, chapter Cloud Model Glowworm Swarm Optimization Algorithm for Functions Optimization, pages 189–197. Springer Berlin Heidelberg, Berlin, Heidelberg, 2013.
Y. Zhou, Q. Luo, and J. Liu. Glowworm swarm optimization for optimization dispatching system of public transit vehicles. Journal of Theoretical and Applied Information Technology, 52(2), 2013.
2012
P.P. Menon and D. Ghose. Simultaneous source localization and boundary mapping for contaminants. American Control Conference, Montreal, Canada, June 27-29, 2012, pp. 4174-4179.
Y. Zhou, J. Liu, and G. Zhao. Leader glowworm swarm optimization algorithm for solving nonlinear equations systems. Electrical Review,88(1):101106, 2012.
L. He, X. Tong, and S. Huang. A glowworm swarm optimization algorithm with improved movement rule. In Proceedings of the International Conference on Intelligent Networks and Intelligent Systems, pages 109–112, Nov 2012.
K. Huang and Y.Q. Zhou. Bio-Inspired Computing and Applications: 7th International Conference on Intelligent Computing, ICIC 2011, Zhengzhou,China, August 11–14. 2011, Revised Selected Papers, chapter A Novel Chaos Glowworm Swarm Optimization Algorithm for Optimization Functions, pages 426–434. Springer Berlin Heidelberg, Berlin, Heidelberg, 2012.
K. Khan and A. Sahai. A glowworm optimization method for the design of web services. International Journal of Intelligent Systems and Applications, 4(10):89, 2012.
L. Wang, L. Zhao, and H. Yan. Application of gso for load allocation between hydropower units and its model analysis based on multi-objective. Journal of Computers, 7(5), 2012.
B. Wu, C. Qian, W. Ni, and S. Fan. The improvement of glowworm swarm optimization for continuous optimization problems. Expert Systems with Applications, 39(7):6335–6342, 2012.
W. Zhao andD.Wei.Relevance vector machine combinedwith glowworm swarm optimization for cam relationship of kaplan turbine. Advanced Science Letters, 11(1):244–247, 2012.
Y. Zhou, Z. Ouyang, J. Liu, and G. Sang. A novel k-means image clustering algorithm based on glowworm swarm optimization. PRZEGLAD ELEKTROTECHNICZNY, 88(8):266–270, 2012.
2011
K. McGill and S. Taylor. Diffuse algorithm for robotic multi-source localization. Proceedings of the IEEE International Conference on Technologies for Practical Robot Applications, Woburn, MA, April 11-12, 2011.
K. McGill and S. Taylor. Robot algorithms for localization of multiple emission sources. ACM Computing Surveys, Vol. 43, No. 3, 2011.
Z. Yuli, M. Xiaoping, M. Yanzi. Localization of multiple odor sources using modified glowworm swarm optimization with collective robots. Chinese Control Conference, Yantai, China, July 22-24, 2011.
W-H. Liao, Y. Kao, and Y-S. Li. A sensor deployment approach using glowworm swarm optimization algorithm in wireless sensor networks. Expert Systems with Applications, Vol. 38, pp. 1218012188, 2011.
Z. Huang and Y. Zhou. Using glowworm swarm optimization algorithm for clustering analysis. Journal of Convergence Information Technology, Vol. 6, No. 2, 2011, pp. 78-85.
R. Dutta, R. Ganguli, and V. Mani. Swarm intelligence algorithms for integrated optimization of piezoelectric actuator and sensor placement and feedback gains. Smart Materials and Structures, Vol. 20, pp. 1-14, 2011.
M.S. Couceiro, R.P. Rocha, and N.M.F. Ferreira. Ensuring ad hoc connectivity in distributed search with robotic darwinian particle swarms. In Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, pages 284–289, Nov 2011.
L. Liangdong Qu, D. He, and J. Wu. Hybrid co-evolutionary glowworm swarm optimization algorithm for fixed point equation. Journal of Information and Computational Science, 2011.
2010
2009
J. Thomas and D. Ghose. Strategies for locating multiple odor sources using glowworm swarm optimization. Indian International Conference on Articial Intelligence, Tumkur, Karnataka, India, December 16-18, 2009.
K. McGill and S. Taylor. Comparing swarm algorithms for multi-source localization. IEEE International Workshop on Safety, Security, and Rescue Robotics, Denver, Colorado, November 3-6, 2009.
2008
K.N. Krishnanand and D. Ghose. A glowworm swarm optimization based multi-robot system for signal source localization. In Design and Control of Intelligent Robotic Systems, Springer-Verlag, Vol. 177, pp. 53-74, 2008.
J. Thomas. Odor source localization using swarm robotics. Masters Thesis, Department of Aerospace, Indian Institute of Science, 2008.
2007
2006
K.N. Krishnanand, P. Amruth, M.H. Guruprasad, S.V. Bidargaddi, and D. Ghose. Glowworm-inspired robot swarm for simultaneous taxis toward multiple radiation sources. In Proceedings of IEEE International Conference on Robotics and Automation, Orlando, Florida, May 15-19, 2006, pp. 958-963.
2005