Multi-objective, multi-domain genetic optimization of a hydraulic rescue spreader

被引：7

作者：

Sullivan, Thomas A. ^{[1
]}

Van de Ven, James D. ^{[1
]}

机构：

[1] Univ Minnesota, Dept Mech Engn, Minneapolis, MN 55455 USA

来源：

MECHANISM AND MACHINE THEORY | 2014年 / 80卷

关键词：

Genetic algorithms; Multi-objective optimization; Multi-domain optimization; Mechanism synthesis; Mechanism optimization; Evolutionary techniques; PLANAR MECHANISMS; 4-BAR MECHANISMS; OPTIMAL-DESIGN; GENERATION; ALGORITHMS; LINKAGES; GA;

D O I：

10.1016/j.mechmachtheory.2014.04.019

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

In this paper, general strategies are presented by which a multi-domain, multi-objective, mechanism-based optimization problem may be efficiently formulated and solved by means of a genetic algorithm. These strategies include integration of traditional precision position techniques with genetic optimization, efficient selection of design variables and search bounds, and a nested optimization structure. A case study illustrating these methods is presented in which a hydraulic rescue spreader is simultaneously optimized for four objectives relating to structural efficiency and kinematic behavior. The solution obtained is shown to be equal or superior to a comparable commercially available device with respect to all four objectives. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：35 / 51

页数：17

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