SPEA2+: Improving the performance of the strength pareto evolutionary algorithm 2

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3242, Issue , 2004, Pages 742-751

  Kim, Mifa ^a   Hiroyasu, Tomoyuki ^a   Miki, Mitsunori ^a   Watanabe, Shinya ^b  

^a DOSHISHA UNIVERSITY   (Japan)

^b RITSUMEIKAN UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; OPTIMIZATION; PROBLEM SOLVING;

MULTI-OBJECTIVE GENETIC ALGORITHM; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; NEW MECHANISMS; REAL-WORLD PROBLEM; SEARCHING ABILITY; STRENGTH PARETO EVOLUTIONARY ALGORITHM; TEST FUNCTIONS; VARIABLE SPACE;

MULTIOBJECTIVE OPTIMIZATION;

EID: 27144495234     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30217-9_75     Document Type: Article

References (8)

1. J.D. Schaffer: Multiple objective optimization with vector evaluated genetic algorithms, Proceedings of 1st International Conference on Genetic Algorithms and Their Applications, 93-100, 1985
2. E. Zitzler and M. Laumanns and L. Thiele, "SPEA2: Improving the Performance of the Strength Pareto Evolutionary Algorithm", Technical Report 103, Computer Engineering and Communication Networks Lab (TIK), Swiss Federal Institute of Technology (ETH) Zurich (2001)
3. Kalyanmoy Deb, Samir Agrawal, Amrit Pratab, and T. Meyarivan, "A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II", KanGAL report 200001, Indian Institute of Technology, Kanpur, India (2000)
4. D.E. Goldberg, and K. Deb. A comparison of selection schemes used in genetic algorithms.In Foundations of Genetic Algorithms 1(FOMA-1), pp69-93.(1991)
5. F. Lirsawe, "A Variant of Evolution Strategies for Vector Optimization, PPSN I", volume 496 of Lecture Notes in Computer Science, (1991)
6. E.Zitzler, and K. Deb, and L. Thiele," Comparison of Multiobjective Evolutionary Algorithms: Empirical Results", EC, Vol. 8, No. 2, pp. 173-195, (2000)
7. K. Deb and T. Meyarivan, "Constrained Test Problems for Multi-Objective Evolutionary Optimization", Kan GAL report 200005, Indian Institute of Technology, Kanpur, India, 2000
8. Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki, "Neighborhood Cultivation Genetic Algorithm for Multi-Objective Optimization Problems",Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL2002), pp.198-202, 2002