A new method to solve generalized multicriteria optimization problems using the simple genetic algorithm

Author:

Osyczka A.,Kundu S.

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Graphics and Computer-Aided Design,Computer Science Applications,Control and Systems Engineering,Software,General Engineering

Reference8 articles.

1. Belegundu, A.D.; Murthy, D.V.; Salagame, R.R.; Constans, E.W. 1994: Multi-objective optimization of laminated ceramic composites using genetic algorithms.Proc. 5th AIAA/NASA/USAF/ISSMO Symp. on Multidisciplinary Analysis and Optimization (held in Panama City, FL), pp. 1015–1022. Washington D.C.: AIAA

2. Gero, J.S.; Louis, S.; Kundu, S. 1994: Evolutionary learning of novel grammars for design improvement.Artificial Intelligence in Engineering Design, Analysis and Manufacture (AIEDAM) 8, 83–94

3. Goldberg, D.E. 1989:Genetic algorithms in search, optimization, and machine learning. Reading, Massachusetts: Addison-Wesley

4. Holland, J.H. 1975:Adaptation in natural and artificial systems. Ann Arbor: University of Michigan Press

5. Horn, J.; Nafpliotis, N.; Goldberg, D.E. 1993: Multiobjective optimization using the niched Pareto genetic algorithm.Tech. Report IlliGAL Report No 93005, IlliGAL, Dept. of General Engineering, University of Illinois at Urbana Champaign

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