Title: Perspectives in Dynamic Optimization Evolutionary Algorithm
Abstract: Dynamic Optimization Evolutionary Algorithm(DOEA) is an intrinsic development of traditional Evolutionary Algorithm. Different to the traditional Evolutionary Algorithm which is designed for stationary or static optimization functions, it can be used to solve some dynamic optimization problems. The traditional Evolutionary Algorithm is hard to escape from the old optimum after the convergence when dealing with dynamic optimization problems, therefore, it is necessary to develop new algorithms. After reviewing the relative works, three directions are proposed: first,by treating the time variable as a common variable, DOPs can be extended as a kind of special Multi-objective Optimization Problems, therefore, Multi-objective Optimization Evolutionary Algorithm would be useful to develop DOEAs; second, it would be very important to theoretically analyze Dynamic Optimization Evolutionary Algorithm; finally, DOEA can be applied into more fields, such as industrial control etc..
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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Cited By Count: 9
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