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Volumn 5361 LNAI, Issue , 2008, Pages 339-348

Discussion of search strategy for multi-objective genetic algorithm with consideration of accuracy and broadness of Pareto optimal solutions

Author keywords

[No Author keywords available]

Indexed keywords

DIESEL ENGINES; GENETIC ALGORITHMS; WIRELESS TELECOMMUNICATION SYSTEMS;

EID: 58349094201     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-89694-4_35     Document Type: Conference Paper
Times cited : (4)

References (15)
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    • Fonseca, C.M.., Fleming, P.J.: Genetic algorithms for multiobjective optimization: Formulation, discussion and generalization. In: Proceedings of the 5th international conference on genetic algorithms, pp. 416-423 (1993)
    • Fonseca, C.M.., Fleming, P.J.: Genetic algorithms for multiobjective optimization: Formulation, discussion and generalization. In: Proceedings of the 5th international conference on genetic algorithms, pp. 416-423 (1993)
  • 3
    • 0033318858 scopus 로고    scopus 로고
    • Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach
    • Zitzler, E., Thiele, L.: Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach. IEEE Transactions on Evolutionary Computation 3(4), 257-271 (1999)
    • (1999) IEEE Transactions on Evolutionary Computation , vol.3 , Issue.4 , pp. 257-271
    • Zitzler, E.1    Thiele, L.2
  • 4
    • 58349092653 scopus 로고    scopus 로고
    • Deb, K., Agarwal, S., Pratap, A., Meyarivan, T.: A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II. In: KanGAL report 200001, Indian Institute of Technology, Kanpur (2000)
    • Deb, K., Agarwal, S., Pratap, A., Meyarivan, T.: A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II. In: KanGAL report 200001, Indian Institute of Technology, Kanpur (2000)
  • 5
    • 0004140075 scopus 로고    scopus 로고
    • SPEA2: Improving the Performance of the Strength Pareto Evolutionary Algorithm
    • Computer Engineering and Communication Networks Lab (TIK, Swiss Federal Institute of Technology (ETH) Zurich
    • Zitzler, E., Laumanns, M., Thiele, L.: SPEA2: Improving the Performance of the Strength Pareto Evolutionary Algorithm. In Technical Report 103, Computer Engineering and Communication Networks Lab (TIK), Swiss Federal Institute of Technology (ETH) Zurich (2001)
    • (2001) In Technical Report , vol.103
    • Zitzler, E.1    Laumanns, M.2    Thiele, L.3
  • 8
    • 35048826713 scopus 로고    scopus 로고
    • Mating Scheme for Controlling the DiversityConvergence Balance for Multiobjective Optimization
    • Deb, K, et al, eds, GECCO 2004, Springer, Heidelberg
    • Ishibuchi, H., Shibata, Y.: Mating Scheme for Controlling the DiversityConvergence Balance for Multiobjective Optimization. In: Deb, K., et al. (eds.) GECCO 2004. LNCS, vol. 3102, pp. 1259-1271. Springer, Heidelberg (2004)
    • (2004) LNCS , vol.3102 , pp. 1259-1271
    • Ishibuchi, H.1    Shibata, Y.2
  • 10
    • 0002128085 scopus 로고
    • Distributed Genetic Algorithms
    • Tanese, R.: Distributed Genetic Algorithms. In: Proc. 3rd ICGA, pp. 434-439 (1989)
    • (1989) Proc. 3rd ICGA , pp. 434-439
    • Tanese, R.1
  • 13
    • 24344459552 scopus 로고    scopus 로고
    • Ishibuchi, H., Kaige, S., Narukawa, K.: Comparison between Lamarckian and Baldwinian Repair on Multiobjective 0/1 Knapsack Problems. In: Coello Coello, CA., Hernández Aguirre, A., Zitzler, E. (eds.) EMO 2005. LNCS, 3410, pp. 370-385. Springer, Heidelberg (2005)
    • Ishibuchi, H., Kaige, S., Narukawa, K.: Comparison between Lamarckian and Baldwinian Repair on Multiobjective 0/1 Knapsack Problems. In: Coello Coello, CA., Hernández Aguirre, A., Zitzler, E. (eds.) EMO 2005. LNCS, vol. 3410, pp. 370-385. Springer, Heidelberg (2005)
  • 14
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    • Local Dominance Using Polar Coordinates to Enhance Multi-objective Evolutionary Algorithms
    • Sato, H., Aguirre, H., Tanaka, K.: Local Dominance Using Polar Coordinates to Enhance Multi-objective Evolutionary Algorithms. In: Proc. 2004 IEEE Congress on Evolutionary Computation, pp. 188-195 (2004)
    • (2004) Proc. 2004 IEEE Congress on Evolutionary Computation , pp. 188-195
    • Sato, H.1    Aguirre, H.2    Tanaka, K.3
  • 15
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    • A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers
    • Computer Engineering and Networks Laboratory TIK, ETH Zurich
    • Knowles, J., Thiele, L., Zitzler, E.: A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers. In TIK Report 214, Computer Engineering and Networks Laboratory (TIK), ETH Zurich (2006)
    • (2006) In TIK Report , vol.214
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.