Paper Info
Title
Expert-guided evolutionary algorithm for layout design of complex space stations.
Abstract
The layout of a space station should be designed in such a way that different equipment and instruments are placed for the station as a whole to achieve the best overall performance. The station layout design is a typical nondeterministic polynomial problem. In particular, how to manage the design complexity to achieve an acceptable solution within a reasonable timeframe poses a great challenge. In this article, a new evolutionary algorithm has been proposed to meet such a challenge. It is called as the expert-guided evolutionary algorithm with a tree-like structure decomposition EGEA-TSD. Two innovations in EGEA-TSD are i to deal with the design complexity, the entire design space is divided into subspaces with a tree-like structure; it reduces the computation and facilitates experts’ involvement in the solving process. ii A human–intervention interface is developed to allow experts’ involvement in avoiding local optimums and accelerating convergence. To validate the proposed algorithm, the layout design of one-space station is formulated as a multi-disciplinary design problem, the developed algorithm is programmed and executed, and the result is compared with those from other two algorithms; it has illustrated the superior performance of the proposed EGEA-TSD.
Year
DOI
Venue
2017
10.1080/17517575.2016.1150521
Enterprise IS
Keywords
Field
DocType
Industrial informatics,multidisciplinary design optimisation,expert-guided evolutionary algorithms (EGEA),space station design
Convergence (routing),Design space,Mathematical optimization,Page layout,Systems engineering,Evolutionary algorithm,Computer science,Linear subspace,Complex space,NP,Computation
Journal
Volume
Issue
ISSN
11
7
1751-7575
Citations 
PageRank 
References 
2
0.37
24
Authors
7
Name
Order
Citations
PageRank
Zhiqin Qian122.06
Zhuming Bi249531.53
Qun Cao320.37
Weiguo Ju420.37
Hongfei Teng531.39
yang zheng6358.53
Siyu Zheng720.37