An Improved Differential Evolution with Local Search for Constrained Layout Optimization of Satellite Module

Authors:
Wang Chen;Yan-Jun Shi;Hong-Fei Teng
Affiliations:
School of Mechanical Engineering, Dalian University of Technology, Dalian, P.R. China 116024;School of Mechanical Engineering, Dalian University of Technology, Dalian, P.R. China 116024;School of Mechanical Engineering, Dalian University of Technology, Dalian, P.R. China 116024
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Year:
2008

Citing 4
Cited 0

Layout optimization for the objects located within a rotating vessel — a three-dimensional packing problem with behavioral constraints

Computers and Operations Research
Handbook of Evolutionary Computation

Handbook of Evolutionary Computation
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces

Journal of Global Optimization
System design by constraint adaptation and differential evolution

IEEE Transactions on Evolutionary Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes an improved differential evolution algorithm (called by DEG hereinafter) to tackle a kind of combinatorial optimization problem, i.e., constrained component layout optimization of satellite module. DEG combined local search with standard DE by employing the Gauss mutation operator from genetic algorithm, aiming to make random micro-perturbations to the location of components for obtaining a better layout scheme. The experimental results showed that the proposed DEG outperformed the standard DE and Genetic algorithm on layout design of simplified satellite module.