A new particle swarm optimization algorithm incorporating reproduction operator for solving global optimization problems

Proceedings - 7th International Conference on Hybrid Intelligent Systems, HIS 2007

Volumn , Issue , 2007, Pages 144-149

  Pant, Millie ^a   Thangaraj, Radha ^a   Abraham, Ajith ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

^b NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BOOLEAN FUNCTIONS; INTELLIGENT CONTROL; INTELLIGENT SYSTEMS; MATHEMATICAL PROGRAMMING; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO);

GLOBAL OPTIMIZATION PROBLEMS; HYBRID INTELLIGENT SYSTEMS (HIS); INTERNATIONAL CONFERENCES; NUMERICA L RESULTS; PARTICLE SWARM OPTIMIZATION (PSO); PARTICLE SWARM OPTIMIZATION ALGORITHM (PSOA); REPRODUCTION OPERATOR;

GLOBAL OPTIMIZATION;

EID: 47149109448     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICHIS.2007.4344042     Document Type: Conference Paper

References (14)

1. Angeline P. J., "Evolutionary Optimization versus Particle Swarm Optimization: Philosophy and Performance Difference," The 7th Annual Conference on Evolutionary Programming, San Diego,USA, (1998).
2. X. Hu, R. C. Eberhart, and Y. Shi, "Swarm Intelligence for Permutation Optimization: A Case Study on n-Queens problem", In Proc. of IEEE Swarm Intelligence Symposium (2003), pp. 243-246.
3. V. Miranda and N. Fonseca, "EPSO - Best-of-two-worlds Meta-heuristic Applied to Power System problems", In Proc. of the IEEE Congress on Evolutionary Computation, Vol. 2, (2002), pp. 1080-1085.
4. V. Miranda and N. Fonseca, "EPSO - Evolutionary Particle Swarm Optimization, a New Algorithm with Applications in Power Systems", In Proc. of the Asia Pacific IEEE/PES Transmission and Distribution Conference and Exhibition, Vol. 2, (2002), pp. 745-750.
5. T-O. Ting, M. V. C. Rao, C. K. Loo, and S-S. Ngu, "A New Class of Operators to Accelerate Particle Swarm Optimization", In Proc. of the IEEE Congresson Evolutionary Computation, Vol. 4, (2003), pp. 2406-2410.
6. X. Yao and Y. Liu, "Fast Evolutionary Programming", In L. J. Fogel, P. J. Angeline, and T. B. Back, editors, Proceedings of the Fifth Annual Conference on Evolutionary Programming, MIT Press, (1996), pp. 451-460.
7. X. Yao, Y. Liu and G.Lin, "Evolutionary Programming made Faster", IEEE Transactions on Evolutionary Computation, Vol. 3(2), (1999), pp. 82-102.
8. P. J. Angeline, "Using Selection to Improve Particle Swarm Optimization", In Proc. of the IEEE Congress on Evolutionary Computation, IEEE Press, (1998), pp. 84-89.
9. M. Clerc, "Think Locally, Act Locally: The Way of Life of Cheap-PSO, an Adaptive PSO", Technical Report, http://clerc.maurice.free.fr/pso/, (2001).
10. Kennedy, J., "The Particle Swarm: Social Adaptation of Knowledge," IEEE International Conference on Evolutionary Computation (Indianapolis, Indiana), IEEE Service Center, Piscataway, NJ,(1997), pg.303-308.
11. R.C. Eberhart, Y. Shi, "Particle Swarm Optimization: developments, Applications and Resources," IEEE International Conference on Evolutionary Computation, (2001), pg. 81-86.
12. Shi, Y. H., Eberhart, R. C., "A Modified Particle Swarm Optimizer," IEEE International Conference on Evolutionary Computation, Anchorage, Alaska, (1998), pg. 69-73.
13. M. M. Ali and A. Torn, "Population Set Based Global Optimization Algorithms: Some Modifications and Numerical Studies", www.ima.umn.edu/ preprints/, (2003).
14. Engelbrecht, A. P., "Fundamentals of Computational Swarm Intelligence", John Wiley & Sons Ltd., (2005).