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Layout Pattern and Opposition-based Cooperative Co-evolutionary Differential Evolution Algorithm and Application

Author: WangYuanHui
Tutor: WangXiuKun
School: Dalian University of Technology
Course: Applied Computer Technology
Keywords: Collaborative differential evolution Confrontation strategy Gaussian mutation Layout mode Layout Optimization
CLC: TP301.6
Type: Master's thesis
Year: 2011
Downloads: 15
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Abstract


In this paper, a class of satellite module layout optimization design problems as application background , differential evolution and collaborative research improved differential evolution algorithm and its complex layout of constrained optimization problem applications . The optimization problem is NP-hard problem . Differential Evolution (DE) algorithm by Storn and Price in 1995 , is a typical differences between individuals in a population - based evolutionary computation , efficient optimization algorithm . Collaborative differential evolution algorithm (CCDE), has emerged in recent years for solving complex high -dimensional optimization problem . The purpose of this study is that the development differential evolution and collaboration differential evolution algorithm to improve the computational performance of the algorithm used to solve the layout optimization problem . This research are: ( 1) a combination of differential evolution algorithm ( LPHCIDE a man-machine -based layout mode and layout mode differential evolution algorithm for short ) for layout optimization . First , according to the layout mode non-isomorphic transform the initial design to form an artificial program . Then , artificial program numerical coding construct artificial individuals joined the DE algorithm population evolutionary direction to guide the population to avoid the phenomenon of \Packing count cases the experimental results show that , compared with other literature algorithm This article LPHCIDE has high accuracy . (2) proposed a confrontation strategy synergy differential evolution algorithm (OCCDE, referred to opposition collaborative differential evolution algorithm ) for Solving Constrained layout optimization problem . First , based on the framework of co-evolution , \Second, the opposition strategy introduced in the initialization of the algorithm population and evolutionary process , improve the speed and accuracy of the convergence of the algorithm . Example by the standard test function and Packing experimental results show that , compared with other literature algorithm , this paper OCCDE has higher convergence speed and accuracy . A confrontation on the basis of the OCCDE disturbance synergistic differential evolution algorithm (OCCDEG), is used to solve the simplified satellite module layout problem . The algorithm in the mechanism of evolution adding random perturbation operator , and enhance the local search ability of the algorithm . Simplified satellite module layout example Experimental results show that , compared with other literature algorithm , this paper OCCDEG has higher convergence speed and accuracy .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > General issues > Theories, methods > Algorithm Theory
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