ENGINEERING OPTIMIZATION WITH HYBRID PARTICLE SWARM AND ANT COLONY OPTIMIZATION

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KAVEH A.; TALATAHARI S.

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Journal Paper

Paper Information

Journal: ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING) Year:2009 | Volume:10 | Issue:6 Page(s): 611-628

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Information Journal Paper

Title

ENGINEERING OPTIMIZATION WITH HYBRID PARTICLE SWARM AND ANT COLONY OPTIMIZATION

Author(s)

KAVEH A. | TALATAHARI S. | Issue Writer Certificate

Keywords

OPTIMIZATION ALGORITHM

PARTICLE SWARM

ANT COLONY

HARMONY SEARCH

ENGINEERING DESIGN PROBLEMS

Abstract

This article presents a heuristic particle swarm ant colony optimization algorithm to solve engineering optimization problems. Although PSO has simple principle and ease to be implemented and can eventually locate the desired solution, however, its practical use in solving engineering optimization problems is severely limited by the high computational cost of the slow convergence rate. Here, ant colony and harmony search principles are employed to speed up local search and improve precision of the solutions. A modified feasible-based mechanism is described which handles the problem-specific constraints.Benchmark optimization problems are used to illustrate the reliability of the proposed algorithm.

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APA: Copy

KAVEH, A., & TALATAHARI, S.. (2009). ENGINEERING OPTIMIZATION WITH HYBRID PARTICLE SWARM AND ANT COLONY OPTIMIZATION. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING), 10(6), 611-628. SID. https://sid.ir/paper/299003/en

Vancouver: Copy

KAVEH A., TALATAHARI S.. ENGINEERING OPTIMIZATION WITH HYBRID PARTICLE SWARM AND ANT COLONY OPTIMIZATION. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING)[Internet]. 2009;10(6):611-628. Available from: https://sid.ir/paper/299003/en

IEEE: Copy

A. KAVEH, and S. TALATAHARI, “ENGINEERING OPTIMIZATION WITH HYBRID PARTICLE SWARM AND ANT COLONY OPTIMIZATION,” ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING), vol. 10, no. 6, pp. 611–628, 2009, [Online]. Available: https://sid.ir/paper/299003/en

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