Weightless Swarm Algorithm (WSA) for dynamic optimization problems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7513 LNCS, Issue , 2012, Pages 508-515

  Ting, T O ^a   Man, Ka Lok ^a   Guan, Sheng Uei ^a   Nayel, Mohamed ^a   Wan, Kaiyu ^a  

^a XI AN JIAOTONG LIVERPOOL UNIVERSITY   (China)

Author keywords

Dynamic optimization; Swapping; Weightless swarm

Indexed keywords

ACCELERATION COEFFICIENTS; CLUSTERING TECHNIQUES; DYNAMIC OPTIMIZATION; DYNAMIC OPTIMIZATION PROBLEM (DOP); DYNAMIC PROBLEM; INERTIA WEIGHT; PARAMETER SENSITIVITIES; PARTICLE SWARM OPTIMIZATION ALGORITHM; PSO ALGORITHMS; SWAPPING; SWARM ALGORITHMS; WEIGHTLESS SWARM;

PARALLEL ARCHITECTURES; PARTICLE SWARM OPTIMIZATION (PSO);

ALGORITHMS;

EID: 84871545734     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-35606-3_60     Document Type: Conference Paper

References (15)

1. Kennedy, J., Eberhart, R.: Particle Swarm Optimization. In: Proceedings of 1995 IEEE International Conference on Neural Networks, vol. 4, pp. 1942-1948 (1995)
2. Robinson, J., Rahmat-Samii, Y.: Particle Swarm Optimization in Electromagnetics. IEEE Transactions on Antennas and Propagation 52, 397-407 (2004)
3. Deb, K., Pratap, A., Agarwal, S., et al.: A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6, 182-197 (2002)
4. Yao, X., Liu, Y., Lin, G.: Evolutionary Programming made Faster. IEEE Transactions on Evolutionary Computation 3, 82-102 (1999)
5. Francois, O.: An Evolutionary Strategy for Global Minimization and its Markov Chain Analysis. IEEE Transactions on Evolutionary Computation 2, 77-90 (1998)
6. Brest, J., Greiner, S., Boskovic, B., et al.: Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems. IEEE Transactions on Evolutionary Computation 10, 646-657 (2006)
7. Gazi, V.: Asynchronous Particle Swarm Optimization. In: IEEE 15th Signal Processing and Communications Applications, SIU 2007, pp. 1-4 (2007)
8. Rada-Vilela, J.: Random Asynchronous PSO. In: 2011 5th International Conference on Automation, Robotics and Applications (ICARA), pp. 220-225 (2011)
9. Shi, Y., Eberhart, R.: A Modified Particle Swarm Optimizer. In: Proceedings of 1998 IEEE International Conference on Evolutionary Computation, pp. 69-73 (1998)
10. Clerc, M., Kennedy, J.: The Particle Swarm - Explosion, Stability and Convergence in a Multidimensional Complex Space. IEEE Transactions on Evolutionary Computation 6, 58-73 (2002)
11. Trelea, I.C.: The Particle Swarm Optimization Algorithm: Convergence Analysis and Parameter Selection. Information Processing Letters 85, 317-325 (2003)
12. EAlib (open platform to test and compare the performances of EAs), http://people.brunel.ac.uk/~csstssy/ECiDUE/ECDOP-Competition12-TestPlatform.tar. gz
13. Yang, S., Li, C.: A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments. IEEE Transactions on Evolutionary Computation 14, 959-974 (2010)
14. Li, C., Yang, S.: A Clustering Particle Swarm Optimizer for Dynamic Optimization. In: IEEE Congress on Evolutionary Computation (CEC 2009), pp. 439-446 (2009)
15. Technical Benchmark Generator for the IEEE WCCI-2012 Competition on Evolutionary Computation for Dynamic Optimization Problems (2012), http://people.brunel.ac.uk/~csstssy/ECiDUE/TR-ECDOP-Competition12.pdf