(Enter summary)
Abstract: This paper describes a non-generational genetic
algorithm for multiobjective optimization.
The fitness of each individual in the
population is calculated incrementally based
on the degree in which it is dominated in
the Pareto sense, or close to other individuals.
The closeness of individuals is measured
using a sharing function. The performance
of the algorithm presented is compared
to previous efforts on three multiobjective
optimization problems of growing difficulty.
The behavior of each... (Update)
Context of citations to this paper: More
.... in the generation of Pareto fronts as they evolve populations of candidates solutions, rather than a single point in the search space [3, 11]. Despite its apparent success, EAs require a codification of the problem which is not always easy to obtain, sacrificing, in many...
.... that try to build the Pareto set, the only non generational GA proposed for MOPs is the one due to Valenzuela Rendon and Uresti Charre[10], hereafter denoted by VR UC. In this paper, a non generational GA is presented and applied to some test problems available in the...
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BibTeX entry: (Update)
Manuel Valenzuela-Rend'on and Eduardo Uresti-Charre. A NonGenerational Genetic Algorithm for Multiobjective Optimization. In Thomas Back, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 658--665, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers. http://citeseer.ist.psu.edu/valenzuela-rendon97nongenerational.html More
@inproceedings{ valenzuelarendon97nongenerational,
author = "Manuel Valenzuela-Rendon and Eduardo Uresti-Charre",
title = "A Non-Generational Genetic Algorithm for Multiobjective Optimization",
booktitle = "Proceedings of the Seventh International Conference on Genetic Algorithms (ICGA97)",
publisher = "Morgan Kaufmann",
address = "San Francisco, CA",
editor = "Thomas B{\"a}ck",
pages = "657--665",
year = "1997",
url = "citeseer.ist.psu.edu/valenzuela-rendon97nongenerational.html" }
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Documents on the same site (http://www-cia.mty.itesm.mx/articulos.html): More
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