A Hybrid Agent Genetic Algorithm Approach to General Arrangements'

被引:4
作者
Daniels, Anthony S. [1 ]
Parsons, Michael G. [1 ]
机构
[1] Univ Michigan, Dept NAME, 2600 Draper Rd, Ann Arbor, MI 48109 USA
关键词
expert system; general arrangement; genetic algorithm; optimisation;
D O I
10.1179/str.2008.55.2.004
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The continuing development of an agent-genetic algorithm hybrid optimization kernel for the allocation of spaces to Zone-decks in a preliminary ship general arrangements design system is presented. In this system, design agents representing the interests of the spaces and the Zone-decks are utilized to propose possible improvements to a population of candidate solutions. Their design change requests are accepted or denied by a domain agent if they will improve the overall ship space allocation design. In parallel, a design judge agent monitors the population and reseeds dominated or infeasible solutions and a genetic algorithm agent provides periodic stochastic manipulation of the population to improve the algorithm's global search capabilities. The algorithm is used to optimize the Zone-deck allocation of spaces for a Notional Corvette-sized vessel.
引用
收藏
页码:78 / +
页数:10
相关论文
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