Titlebook: Evolutionary Multi-Criterion Optimization; First International Eckart Zitzler,Lothar Thiele,David Corne Conference proceedings 2001 Spring

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Rengarajan Sriram,Gopalan Jagadeeshsuch processes little knowledge appertaining to the problem at hand may be available. A primary task relates to improving problem definition in terms of variables, constraint and both quantitative and qualitative objectives. The problem space develops with information gained in a dynamical process w

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Kei-Ichi Ishikawa,Risa Nonaka,Wado Akamatsueights during evolution will lead the population to the Pareto front. Two possible methods are investigated. One method is to assign a uniformly distributed random weight to each individual in the population in each generation. The other method is to change the weight periodically with the process o

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Charla C. Engels,Piotr Walczak M.D., Ph.D.. Firstly, the evolutionary algorithm method for generating a set of Pareto optimal solutions is described. Then, indiscernibility interval method is applied to select representative subset of Pareto optimal solutions. The main idea of this method consists in removing from the set of Pareto optimal

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