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Titlebook: Evolutionary Multi-Criterion Optimization; Second International Carlos M. Fonseca,Peter J. Fleming,Kalyanmoy Deb Conference proceedings 200

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978-3-540-01869-8Springer-Verlag Berlin Heidelberg 2003
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0302-9743 Overview: 978-3-540-01869-8978-3-540-36970-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Social Factors and Scientific Imaginationis to show that the genetic information extracted from supported solutions constitutes a useful genetic heritage to be used by crossover operators to approximate non-supported solutions. Bound sets describe one acceptable limit for applying a local search over an offspring. Results of extensive nume
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https://doi.org/10.1007/978-1-137-12209-4lgorithm on specific areas of the feasible region by shrinking the constrained space of single-objective optimization problems. IS-PAES uses an adaptive grid as the original PAES (Pareto Archived Evolution Strategy). However, the adaptive grid of IS-PAES does not have the serious scalability problem
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Implications for Research and Conclusions,nd evolutionary concepts. Unlike other evolutionary algorithm which gives only heuristic solutions, . is able to bound effectively the Pareto optimal front as well as to produce accurate approximate solutions.
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