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Comparison of different one-dimensional maps as chaotic search pattern in chaos optimization algorithms

机译:混沌优化算法中不同一维图作为混沌搜索模式的比较

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The aim of this paper is to propose and compare different one-dimensional maps as chaotic search patterns in the constraint nonlinear optimization problems. For this purpose, about 10 one-dimensional maps are introduced that can be used as search pattern in chaos optimization algorithms. We apply these maps in specific optimization algorithm (weighted gradient direction based chaos optimization algorithm) and compare them based on numerical simulation results. (c) 2006 Elsevier Inc. All rights reserved.
机译:本文的目的是提出和比较不同的一维映射作为约束非线性优化问题中的混沌搜索模式。为此,引入了大约10个一维图,这些图可以用作混沌优化算法中的搜索模式。我们将这些映射应用于特定的优化算法(基于加权梯度方向的混沌优化算法),并根据数值模拟结果对其进行比较。 (c)2006 Elsevier Inc.保留所有权利。

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