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文件名称:免疫算法

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In the last twenty years, the design of efficient function optimizers has been a crucial topic of research work. Many theoretical and practical research problems involve combinatorial optimization, which is obtaining the optimal solution among a finite set of alternatives. Such optimization problems are notoriously difficult to solve, one of the primary reasons being that in most applications the number of alternatives is extremely large and only a fraction of them can be considered within a reasonable amount of time (Shi et al, 1999). Indeed, such problems are often non-differentiable or multimodal, causing difficulties for classical gradient and random search methods, which are limited to simple unimodal functions and which are thus inappropriate to apply to such difficult problems. The seminal methods to deal with this problem are called Deterministic Optimization Methods (DOMs) (Fletcher, 1980). There are two major drawbacks when using DOMs: their high computational complexity and the possibility of becoming trapped in a local optimum. Moreover, DOMs are difficult to program, as they require a deep mathematical knowledge.
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压缩包 : Chapter+4.rar 列表
Chapter 4\GA and CSA\csa.asv
Chapter 4\GA and CSA\csa.m
Chapter 4\GA and CSA\data.mat
Chapter 4\GA and CSA\decode.m
Chapter 4\GA and CSA\fig.m
Chapter 4\GA and CSA\ga.m
Chapter 4\GA and CSA\imprime.m
Chapter 4\GA and CSA\imprint.m
Chapter 4\GA and CSA\initpop.m
Chapter 4\GA and CSA\num8_12x10.mat
Chapter 4\GA and CSA\pmcont.m
Chapter 4\GA and CSA\reprod.m
Chapter 4\GA and CSA\test.m
Chapter 4\PSO\pso.m
Chapter 4\GA and CSA
Chapter 4\PSO
Chapter 4
Matlab中文论坛--助努力的人完成毕业设计.url
使用帮助:新手必看.htm

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