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Evolutionary Multi-Criterion Optimization - Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005, Proceedings (Paperback, 2005 ed.)
Loot Price: R2,971
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Evolutionary Multi-Criterion Optimization - Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005, Proceedings (Paperback, 2005 ed.)
Series: Theoretical Computer Science and General Issues, 3410
Expected to ship within 10 - 15 working days
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Multicriterion optimization refers to problems with two or more
objectives (n- mally in con?ict with each other) which must be
simultaneously satis?ed. Multicriterion optimization problems have
not one but a set of solutions (which represent trade-o's among the
objectives), which are called Pareto optimal - lutions. Thus, the
main goal in multicriterion optimization is to ?nd or to -
proximate the set of Pareto optimal solutions. Evolutionary
algorithms have been used for solving multicriterion optimization
problems for over two decades, gaining an increasing popularity
over the last 10 years. The 3rd International Conference on
Evolutionary Multi-criterion Optimi-
tion(EMO2005)washeldduringMarch9 11,2005, inGuanajuato, M
exico.This
wasthethirdinternationalconferencededicatedentirelytothisimportanttopic,
followingthesuccessfulEMO2001andEMO2003conferences, whichwereheldin
Z] urich, SwitzerlandinMarch2001, andinFaro, PortugalinApril2003,
respectively. The EMO 2005 scienti?c program included two keynote
addresses, one given by Peter Fleming on an engineering design
perspective of many-objective op- mization, and the other given by
Milan Zeleny on the evolution of optimality. In addition, three
tutorials were presented, one on metaheuristics for multiobj-
tivecombinatorialoptimizationbyXavierGandibleux,
anotheronmultiobjective evolutionary algorithms by Gary B. Lamont,
and a third one on performance assessment of multiobjective
evolutionary algorithms by Joshua D. Knowle
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