Weight Minimization of Helical Compression Spring Using Gravitational Search Algorithm (GSA)

Abstract:

Compression spring is one of the most common mechanical componet being used in most mechanisms. Many criteria and constraints should be considered in designing and specifying the spring dimensions. Therefore, it has been one of the standard case studies considered to test a new optimisation algorithm. This paper introduced an optimization method named Gravitational search Algorithm (GSA) to solve the problem of weight minimization of spring. From previous studies, weight minimization of a spring has been investigated by many researcher using various optimization algorithm technique. The result of this study were compared to one of the previous studies using Particle Swarm Optimization (PSO) algorithm. Also, parametric studies were conducted to select the best values of GSA parameters, beta and epsilon. From the results obtained, it was observed that the optimum dimensions and weight obtained by GSA are better than the values obtained by PSO. The best values of beta and epsilon was found to be 0.6 and 0.01 respectively.

• Periodical: Applied Mechanics and Materials (Volumes 773-774)
• Pages: 277-281
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.773-774.277
• Online since: July 2015
• Authors: Noor Hafizah Amer*, Nurhidayati Ahmad, Amar Faiz Zainal Abidin
• Keywords: Compression Spring, Constrained Optimization, Gravitational Search Algorithm, Weight Minimization

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