Hybrid particle swarm optimizer for a class of dynamic fitness landscape

References

• Angeline , P. J. Tracking extrema in dynamic environments . Evolutionary Programming VI, 6th International Conference EP'97 . Edited by: Angeline , P. J. , Reynolds , R. G. , McDonell , J. and Eberhart , R. Vol. 1213 , pp. 335 – 345 . Indianapolis, IN : Springer-Verlag . Lecture Notes in Computer Science
   Google Scholar
• Bäck , T. , Fogel , D. B. and Michalewicz , Z. 1997 . Handbook of Evolutionary Computation , Edited by: Bäck , T. , Fogel , D. B. and Michalewicz , Z. Bristol : Oxford University Press .
   Google Scholar
• Blackwell , T. Swarms in dynamic environments . Genetic and Evolutionary Computation—GECCO 2003. Proceedings, Part I . Edited by: Cantú-Paz , E. Vol. 2723 , pp. 1 – 12 . Chicago, IL : Springer-Verlag . Lecture Notes in Computer Science
   Google Scholar
• Blackwell , T. and Branke , J. 2004 . “ Multi-swarm optimization in dynamic environments ” . In Applications of Evolutionary Computing: Evoworkshops 2004 , Edited by: Raidl , G. Vol. 3005 , 489 – 500 . Portugal : Springer-Verlag . Lecture Notes in Computer Science
   Google Scholar
• Branke , J. 2002 . Evolutionary Optimization in Dynamic Environments , Boston/Dordecht/ London : Kluwer Academic .
   Google Scholar
• Carlisle , A. 2002 . “ Applying The particle swarm optimization to non-stationary environments ” . AL : Auburn University . PhD thesis
   Google Scholar
• Carlisle , A. and Dozier , G. 2000 . “ Adapting particle swarm optimization to dynamic environments ” . In International Conference on Artificial Intelligence 429 – 434 . Las Vegas, NV
   Google Scholar
• Carlisle , A. and Dozier , G. Tracking changing extrema with adaptive particle swarm optimizer . Proceedings of the 5th Biannual World Automation Congress . pp. 265 – 270 . Orlando, FL
   Google Scholar
• Caro , G. and Dorigo , M. 1998 . AntNet: distributed stigmergetic control for communications networks . J. Artif. Intelli. Res. , 9 : 317 – 365 .
   Google Scholar
• Esquivel , S. C. and Coello Coello , C. A. On the use of particle swarm optimization with multimodal functions . Proceedings of 2003 Congress on Evolutionary Computation (CEC'2003) . Vol. 2 , pp. 1130 – 1136 . Piscataway, NJ : IEEE Press .
   Google Scholar
• Esquivel , S. C. and Coello Coello , C. A. 2004 . “ Particle swarm optimization in non-stationary environments ” . In Advances in Artificial Intelligence—IBERAMIA 2004 , Edited by: Lemaître , C. , Reyes , C. A. and González , J. A. Vol. 3315 , 757 – 766 . Puebla, , México : Springer-Verlag . Lecture Notes in Artificial Intelligence
   Google Scholar
• Fan , S. S. , Liang , Y. and Zahara , E. 2004 . Hybrid simplex search and particle swarm optimization for the global optimization of multimodal functions . Engng Optimiz. , 36 ( 4 ) : 401 – 418 .
   Web of Science ®Google Scholar
• Guntsch , M. and Middendorf , M. 2001 . “ Pheromone modification strategies for ant algorithms applied to dynamic TSP ” . In Applications of Evolutionary Computing: Evoworkshops 2001 , Edited by: Boers , E. J. Vol. 2037 , 213 – 222 . Como, , Italy : Springer-Verlag . Lecture Notes in Computer Science
   Google Scholar
• Guntsch , M. and Middendorf , M. 2002 . “ Applying population based ACO to dynamic optimization problems ” . In Ant Algorithms. Third International Workshop, ANTS 2002 , Edited by: Dorigo , M. , Di Caro , G. and Sampels , M. Vol. 2463 , 111 – 122 . Brussels, , Belgium : Springer-Verlag . Lecture Notes in Computer Science
   Google Scholar
• Guntsch , M. and Middendorf , M. 2002 . “ A population based approach for ACO ” . In Applications of Evolutionary Computing: Evoworkshops 2002 , Edited by: Cagnoni , S. , Gottlieb , J. , Hart , E. , Middendorf , M. and Raidl , G. Vol. 2279 , 72 – 81 . Kinsale, , Ireland : Springer-Verlag . Lecture Notes in Computer Science
   Google Scholar
• Guntsch , M. , Middendorf , M. and Schmeck , H. An ant colony optimization approach to dynamic TSP . Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2001) . Edited by: Spector , L. pp. 860 – 867 . San Francisco, , CA : Morgan Kaufmann .
   Google Scholar
• He , S. , Prempain , E. and Wu , Q. 2004 . An improved particle swarm optimizer for mechanical design optimization problems . Engng Optimiz. , 36 ( 5 ) : 585 – 605 .
   Web of Science ®Google Scholar
• Hu , X. and Eberhart , R. C. Adaptive particle swarm optimization: detection and response to dynamic systems . Proceedings of the 2002 Congress on Evolutionary Computation, CEC'2002 . Vol. 2 , pp. 1666 – 1670 . Piscataway, NJ : IEEE Service Center .
   Google Scholar
• Janson , S. and Middendorf , M. 2004 . “ A hierarchical particle swarm optimizer for dynamic optimization problems ” . In Applications of Evolutionary Computing: Evoworkshops 2004 , Edited by: Raidl , G. Vol. 3005 , 513 – 524 . Coimbra, , Portugal : Springer-Verlag . Lecture Notes in Computer Science
   Google Scholar
• Kennedy , J. and Eberhart , R. C. Particle swarm optimization . Proceedings of the 1995 IEEE International Conference on Neural Networks . pp. 1942 – 1948 . Piscataway, NJ : IEEE Service Center .
   Google Scholar
• Kennedy , J. and Eberhart , R. C. 2001 . Swarm Intelligence , San Mateo, CA : Morgan Kaufmann .
   Google Scholar
• Kennedy , J. and Mendes , R. Population structure and particle swarm performance . Proceedings of the 2002 Congress on Evolutionary Computation, CEC'2002 . Vol. 2 , pp. 1671 – 1676 . Piscataway, NJ : IEEE Service Center .
   Google Scholar
• Michalewicz , Z. and Fogel , D. B. 2000 . How to Solve It: Modern Heuristics , Berlin : Springer .
   Google Scholar
• Morrison , R. W. 2002 . “ Designing evolutionary algorithms for dynamic environments ” . Fairfax, VA : George Mason University . PhD thesis
   Google Scholar
• Morrison , R. W. and De Jong , K. A. A test problem generator for non-stationary environments . Conference on Evolutionary Computation (CEC'99 , Vol. 3 , pp. 2053 – 2047 . Piscataway, NJ : IEEE Service Center .
   Google Scholar
• Parrot , D. and Li , X. A particle swarm model for tracking multiple peaks in dynamic environments using speciation . 2004 Conference on Evolutionary Computation (CEC'2004) . pp. 98 – 103 . Piscataway, NJ : IEEE Service Center .
   Google Scholar
• Ray , T. and Liew , K. 2002 . A swarm metaphor for multiobjective design optimization . Engng Optimiz. , 34 ( 2 ) : 141 – 153 .
   Web of Science ®Google Scholar
• Schoonderwoerd , J. B.R. , Holland , O. and Rothkrantz , L. 1996 . Ant-based load balancing in telecommunications networks . Adaptive Behavior , 5 : 168 – 207 .
   Google Scholar
• Shi , Y. and Eberhart , R. A modified particle swarm optimizer . Proceedings of the 1998 IEEE International Conference on Evolutionary Computation . pp. 69 – 73 . Piscataway, NJ : IEEE Service Center .
   Google Scholar
• van den Bergh , F. 2002 . “ An analysis of particle swarm optimization ” . Pretoria, , South Africa : University of Pretoria . PhD thesis, Faculty of Natural and Agricultural Science
   Google Scholar