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Optimum synthesis of a four-bar mechanism using the modified bacterial foraging algorithm
Authors:Efrén Mezura-Montes  Edgar A Portilla-Flores  Betania Hernández-Ocaña
Affiliation:1. Laboratorio Nacional de Informática Avanzada (LANIA) A.C., Rébsamen 80, Xalapa, Mexico;2. Centro de Innovación y Desarrollo Tecnológico en Cómputo (CIDETEC-IPN), U. Adolfo López Mateos, México D.F., Mexico
Abstract: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.
Keywords:optimum synthesis  four-bar mechanism  nature-inspired optimisation  swarm intelligence  evolutionary algorithms
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