Title of article :
AN IMPROVED HPSACO FOR ENGINEERING OPTIMUM DESIGN PROBLEMS
Author/Authors :
Kaveh, A. iran university of science and technology - Centre of Excellence for Fundamental Studies in Structural Engineering, تهران, ايران , Talatahari, S. university of tabriz - Department of Civil Engineering, تبريز, ايران , Farahmand Azar, B. university of tabriz - Department of Civil Engineering, تبريز, ايران
Abstract :
An improved heuristic particle swarm ant colony optimization (HPSACO) is presented to solve engineering optimization problems. This new algorithm follows the HPSACO levels; however some modifications are performed in global and local searching levels to improve its performance. Here, the properties of the big bang–big crunch algorithm are added to PSO and ACO in global and local searching levels, respectively and these changes improve precision of the solutions and the reliability of the algorithm. Benchmark engineering optimization problems are used to illustrate the reliability of the proposed algorithm.
Keywords :
Keywords: Optimization methods , particle swarm ant colony optimization , big bang–big crunch algorithm , engineering design problems
Journal title :
Asian Journal of Civil Engineering (Building and Housing)
Journal title :
Asian Journal of Civil Engineering (Building and Housing)
