many fields

Optimization problems need to be solved in many fields which have great application prospect in the development of the national economy. With increasing of the complexity and scale of the optimization objects, its objective function has the features of non-linear, constrained, multi-objective, multi-model and even non-continuous or non-analytical. So it has become more and more difficult to solve the combinational optimization problems by the classical optimization methods based on the strict mechanism model.The intelligent optimization algorithm provide a very effective new method to solve complicated optimization problems, which can make up a computing system which has the characters of large-scale parallel, Self-organization, adaptive and self-learning by analogue and bionics. Compared with the traditional optimization methods they have the advantages of non-centralized- control, multi-agent mechanism, simple algorithm structure, implicit parallel and easy to understand and implement.
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