He the co author of evolutionary multiobjective optimization in uncertain environments issues and algorithms springer verlag 2009 and the co editor of multi objective memetic algorithms . Evolutionary multi objective optimization in uncertain environments issues and algorithms is intended for a wide readership and will be a valuable reference for engineers researchers senior undergraduates and graduate students who are interested in the areas of evolutionary multi objective optimization and uncertainties. Evolutionary multi objective optimization in uncertain environments by chi keong goh 9783540959755 available at book depository with free delivery worldwide. The main advantage of evolutionary algorithms when applied to solve multi objective optimization problems is the fact that they typically generate sets of solutions allowing computation of an approximation of the entire pareto front. Chi keong goh of rolls royce london with expertise in artificial neural network data mining evolutionary multi objective optimization in uncertain environments issues and algorithms
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