Optimum synthesis of a four-bar mechanism using the modified bacterial foraging algorithm

被引:19
|
作者
Mezura-Montes, Efren [1 ]
Portilla-Flores, Edgar A. [2 ]
Hernandez-Ocana, Betania [1 ]
机构
[1] Lab Nacl Informat Avanzada LANIA AC, Xalapa, Veracruz, Mexico
[2] U Adolfo Lopez Mateos, Ctr Innovac & Desarnollo Tecnol Comp CIDETEC IPN, Mexico City, DF, Mexico
关键词
optimum synthesis; four-bar mechanism; nature-inspired optimisation; swarm intelligence; evolutionary algorithms; CONSTRAINT-HANDLING METHOD; PARTICLE SWARM; EVOLUTIONARY; OPTIMIZATION;
D O I
10.1080/00207721.2012.745023
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents the mechanical synthesis of a four-bar mechanism, its definition as a constrained optimisation problem in the presence of one dynamic constraint and its solution with a swarm intelligence algorithm based on the bacteria foraging process. The algorithm is adapted to solve the optimisation problem by adding a suitable constraint-handling technique that is able to incorporate a selection criterion for the two objectives stated by the kinematic analysis of the problem. Moreover, a diversity mechanism, coupled with the attractor operator used by bacteria, is designed to favour the exploration of the search space. Four experiments are designed to validate the proposed model and to test the performance of the algorithm regarding constraint-satisfaction, sub-optimal solutions obtained, performance metrics and an analysis of the solutions based on the simulation of the four-bar mechanism. The results are compared with those provided by four algorithms found in the specialised literature used to solve mechanical design problems. On the basis of the simulation analysis, the solutions obtained by the proposed algorithm lead to a more suitable design based on motion generation and operation quality.
引用
收藏
页码:1080 / 1100
页数:21
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