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Human-computer co-operative co-evolutionary method and its application to a satellite module layout design problem

Published online by Cambridge University Press:  03 February 2016

J-Z. Huo
Affiliation:
School of Mechanical Engineering, Dalian University of Technology, Dalian, China
H-F. Teng
Affiliation:
School of Mechanical Engineering, Dalian University of Technology, Dalian, China
W. Sun
Affiliation:
School of Mechanical Engineering, Dalian University of Technology, Dalian, China
J. Chen
Affiliation:
Department of Naval Architecture and Ocean Engineering, Dalian University of Technology, Dalian, China

Abstract

The layout design of a satellite module is a complex mechanical layout problem. Its main difficulties lie in combinatorial explosion of computational complexity, engineering complexity, and applicability in engineering practice. Inspired by the human-computer cooperation ideas, a human–computer co-operative co-evolutionary method for optimising layout design of a satellite module is developed. This method constructs the diversity reference set by using the diversity intelligence solutions (DIs) that are created by using the combinatorial operators of differential evolution (DE) and the blend crossover operator (BLX-a). During the co-evolution process of the presented method, the AIs, the DIs and the algorithm solutions are expressed by unified encoding strings and incorporated together to create new co-operative solutions. An instance of a satellite module layout design is presented to demonstrate the feasibility and effectiveness of the proposed method. Compared with the co-evolutionary approach and the all-at-once optimisation approaches, computational results show that the proposed method not only can produce better solutions, but also can better balance the conflicting objectives on the trade-off issues.

Information

Type
Research Article
Copyright
Copyright © Royal Aeronautical Society 2010 

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