Distributed multi-objective GA for generating comprehensive Pareto front in deceptive optimization problems

2006 IEEE Congress on Evolutionary Computation, CEC 2006

Volumn , Issue , 2006, Pages 1569-1576

  Ando, Shin ^a   Suzuki, Einoshin ^a  

^a IEEE

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; COMPUTATION THEORY; COMPUTER SIMULATION; MATHEMATICAL MODELS; MULTI AGENT SYSTEMS; PARETO PRINCIPLE;

OBJECTIVE FUNCTIONS; OPTIMIZATION PROBLEMS; SUBPOPULATION IMPLEMENTATION;

GENETIC ALGORITHMS;

EID: 34547278592     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. C. A. Coello Coello, D. A. Van Veldhuizen, and G. B. Lamont, Evolutionary Algorithms for Solving Multi-Objective Problems. Boston, MA: Kluwer Academic Publishers, 2002.
2. K. Deb, Multi-Objective Optimization Using Evolutionary Algorithms. Chichester: John Wiley and Sons, 2001.
3. J. D. Schaffer, "Multiple objective optimization with vector evaluated genetic algorithms," in in Proc. of 1st International Conference on Genetic Algorithms and Their Applications, 1985, pp. 93-100.
4. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, "A fast and elitist multiobjective genetic algorithm: NSGA-II," IEEE Trans. on Evolutionary Computation, vol. 6, pp. 182-197, 2002.
5. E. Zitzler, M. Laumanns, and L. Thiele, SPEA2: Improving the Strength Pareto Evolutionary Algorithm for Multiobjective Optimization. Barcelona, Spain: CIMNE, 2002.