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Abstract: In this paper a non-generational genetic algorithm for multi-objective optimization problems is proposed. For each element in the population a domination count is defined together with a neighborhood density measure based on a sharing function. Those two measures are then non-linearly combined in order to define the individual 's fitness. Numerical experiments with four testproblems taken from the evolutionary multi-objective literature are performed and the results are compared with those... (Update)
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BibTeX entry: (Update)
Carlos C.H. Borges and Helio J.C. Barbosa. A Non-generational Genetic Algorithm for Multiobjective Optimization. In 2000 Congress on Evolutionary Computation, volume 1, pages 172-179, San Diego, California, July 2000. IEEE Service Center. http://citeseer.ist.psu.edu/borges00nongenerational.html More
@inproceedings{ borges00nongenerational,
author = "Carlos C. H. Borges and Helio J. C. Barbosa",
title = "A Non-Generational Genetic Algorithm for Multiobjective Optimization",
booktitle = "Proceedings of the 2000 Congress on Evolutionary Computation CEC00",
month = "6-9",
publisher = "IEEE Press",
address = "La Jolla Marriott Hotel La Jolla, California, USA",
isbn = "0-7803-6375-2",
pages = "172--179",
year = "2000",
url = "citeseer.ist.psu.edu/borges00nongenerational.html" }
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