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

来源：

SHIP TECHNOLOGY RESEARCH | 2008年 / 55卷 / 02期

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

页码：78 / +

页数：10