Performance measures and particle swarm methods for dynamic multi-objective optimization problems

Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference

Volumn , Issue , 2007, Pages 907-

  Li, Xiaodong ^a   Branke, Juergen ^b   Kirley, Michael ^c  

^a RMIT UNIVERSITY   (Australia)

^b UNIVERSITY OF KARLSRUHE   (Germany)

^c UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Multiobjective optimization; Performance metrics; Swarm intelligence

Indexed keywords

EID: 34548099231     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1276958.1277137     Document Type: Conference Paper

References (3)

1. Farina, M., Deb, K. and Amato, P.: Dynamic multiobjective optimization problems: test cases, approximation and applications. In IEEE Trans. on Evolutionary Computation 8(5), (2004) 425-442.
2. Branke, J.: Evolutionary Optimization in Dynamic Environments. Boston: Kluwer Adademic Publishers (2002).
3. Li, X.: Better Spread and Convergence: Particle Swarm Multiobjective Optimization using the Maximin Fitness Function. In K. Deb, et al., (eds.) Proc. of Genetic and Evolutionary Computation Conference 2004 (GECCO'04), LNCS 3102. Seattle, USA (2004) 117-128.