Evolutionary algorithms for multicriteria optimization with selecting a representative subset of pareto optimal solutions

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

Volumn 1993, Issue , 2001, Pages 141-153

  Osyczka, Andrzej ^a   Krenich, Stanislaw ^a  

^a CRACOW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

EVOLUTIONARY ALGORITHMS; FILTRATION; MULTIOBJECTIVE OPTIMIZATION; OPTIMAL SYSTEMS;

COMPUTATION TIME; DESIGN OPTIMIZATION PROBLEM; FILTRATION PROCESS; INTERVAL METHODS; MULTICRITERIA OPTIMIZATION; OBJECTIVE FUNCTIONS; PARETO FRONTIERS; PARETO OPTIMAL SOLUTIONS;

PARETO PRINCIPLE;

EID: 84931299764     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44719-9_10     Document Type: Conference Paper

References (7)

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3. Montusiewicz J. (1999) Division of the Set of Nondominated Solutions by Means of the Undifferentiation Interval Method, In: The Technological Information Systems, pp. 65-72, Societas Scientiarum Lublinensis, Lublin.
4. Osyczka A., Montusiewicz J. (1994) A Random Search Approach to Multicriterion Discrete Optimization, IUTAM Symposium on Discrete Structural Optimization, Springer-Verlag, pp. 71-79.
5. Osyczka A., Tamura H., Saito Y. (1997) Pareto Set Distribution Method for Multicriteria Design Optimization Using Genetic Algorithm, In: Proceedings of Engineering Design and Automation Conference, Bangkok, Thailand, pp. 228-231.
6. Osyczka A., Tamura H. (1996) Pareto Set Distribution Method for Multicriteria Optimization Using Genetic Algorithm, In: Proceedings of Genetic Algorithms’96, (MENDEL-96)- International Conference, Brno, Czech Republic, pp.135-143.
7. Steuer R.E. (1986) Multiple Criteria Optimization – Theory, Computation and Application, Wiley, New York.