A proposal to use stripes to maintain diversity in a multi-objective particle swarm optimizer

Proceedings - 2005 IEEE Swarm Intelligence Symposium, SIS 2005

Volumn 2005, Issue , 2005, Pages 23-30

  Villalobos Arias, Mario Alberto ^a   Pulido, Gregorio Toscano ^a   Coello Coello, Carlos A ^a  

^a DEPARTAMENTO DE FÍSICA   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

EVOLUTIONARY ALGORITHMS; FUNCTIONAL ELECTRIC STIMULATION; OPTIMIZATION; PROBLEM SOLVING; SEARCH ENGINES;

MULTI-OBJECTIVE PARTICLE; OPTIMIZATION PROBLEMS; SWARM OPTIMIZER;

INTELLIGENT AGENTS;

EID: 33745793010     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIS.2005.1501598     Document Type: Conference Paper

References (23)

1. Carlos A. Coello Coello and Nareli Cruz Cortés. Solving Multiobjective Optimization Problems using an Artificial Immune System. Genetic Programming and Evolvable Machines, 6(2): 163-190, June 2005.
2. Carlos A. Coello Coello, Gregorio Toscano Pulido, and Maximino Salazar Lechuga. Handling Multiple Objectives With Particle Swarm Optimization. IEEE Transactions on Evolutionary Computation, 8(3):256-279, June 2004.
3. Kalyanmoy Deb, Manikanth Mohan, and Shikhar Mishra. Towards a Quick Computation of Well-Spread Pareto-Optimal Solutions. In Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb, and Lothar Thiele, editors, Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pages 222-236, Faro, Portugal, April 2003.
4. Springer. Lecture Notes in Computer Science. Volume 2632.
5. Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal, and T. Meyarivan. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2):182-197, April 2002.
6. Xiaohui Hui, Russell C. Eberhart, and Yuhui Shi. Particle Swarm with Extended Memory for Multiobjective Optimization. In 2003 IEEE Swarm Intelligence Symposium Proceedings, pages 193-197, Indianapolis, Indiana, USA, April 2003. IEEE Service Center.
7. Marco Laumanns, Lothar Thiele, Kalyanmoy Deb, and Eckart Zitzler. Combining Convergence and Diversity in Evolutionary Multi-objective Optimization. Evolutionary Computation, 10(3):263-282, Fall 2002.
8. Xiaodong Li. Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness Function. In Kalyanmoy Deb et al., editor, Genetic and Evolutionary Computation-GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, pages 117-128, Seattle, Washington, USA, June 2004.
9. Springer-Verlag, Lecture Notes in Computer Science Vol. 3102.
10. Mahdi Mahfouf, Min-You Chen, and Derek Arturh Linkens. Adaptive Weighted Particle Swarm Optimisation for Multi-objective Optimal Design of Alloy Steels. In Parallel Problem Solving from Nature - PPSN VIII, pages 762-771, Birmingham, UK, September 2004.
11. Springer-Verlag. Lecture Notes in Computer Science Vol. 3242.
12. K.M. Miettinen. Nonlinear Multiobjective Optimization. Kluwer Academic Publishers, Boston, Massachusetts, 1998.
13. Sanaz Mostaghim and Jürgen Teich. The role of e-dominance in multi objective particle swarm optimization methods. In CEC'2003, volume 3, pages 1764-1771. IEEE Press, December 2003.
14. Sanaz Mostaghim and Jürgen Teich. Strategies for Finding Good Local Guides in Multi-objective Particle Swarm Optimization (MOPSO). In 2003 IEEE Swarm Intelligence Symposium Proceedings, pages 26-33, Indianapolis, Indiana, USA, April 2003. IEEE, Service Center.
15. Sanaz Mostaghim and Jürgen Teich. Covering Pareto-optimal Fronts by Subswarms in Multi-objective Particle Swarm Optimization. In 2004 Congress on Evolutionary Computation (CEC'2004), volume 2, pages 1404-1411, Portland, Oregon, USA, June 2004. IEEE Service Center.
16. K.E. Parsopoulos, D.K. Tasoulis, and M.N. Vrahatis. Multiobjective Optimization Using Parallel Vector Evaluated Particle Swarm Optimization. In Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (AIA 2004), volume 2, pages 823-828, Innsbruck, Austria, February 2004. ACTA Press.
17. Dipti Srinivasan and Tian Hou Seow. Particle Swarm Inspired Evolutionary Algorithm (PS-EA) for Multiobjective Optimization Problem. In Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), volume 4, pages 2292-2297, Canberra, Australia, December 2003. IEEE Press.
18. Gregorio Toscano Pulido and Carlos A. Coello Coello. Using Clustering Techniques to Improve the Performance of a Particle Swarm Optimizer. In Kalyanmoy Deb et al., editor, Genetic and Evolutionary Computation-GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, pages 225-237, Seattle, Washington, USA, June 2004.
19. Springer-Verlag, Lecture Notes in Computer Science Vol. 3102.
20. David A. Van Veldhuizen. Multiobjective Evolutionary Algorithms: Classifications, Analyses, and New Innovations. PhD thesis, Department of Electrical and Computer Engineering. Graduate School of Engineering. Air Force Institute of Technology, Wright-Patterson AFB, Ohio, May 1999.
21. David A. Van Veldhuizen and Gary B. Lamont. On Measuring Multiobjective Evolutionary Algorithm Performance. In 2000 Congress on Evolutionary Computation, volume 1, pages 204-211, Piscataway, New Jersey, July 2000. IEEE Service Center.
22. Eckart Zitzler. Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications. PhD thesis, Swiss Federal Institute of Technology (ETH), Zurich, Switzerland, November 1999.
23. Eckart Zitzler and Lothar Thiele. Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach. IEEE Transactions on Evolutionary Computation, 3(4):257-271, November 1999.