Title: Optimal design of constraint engineering systems: application of mutable smart bee algorithm

Authors: Ahmad Mozaffari; Mofid Gorji-Bandpy; Tahereh B. Gorji

Addresses: Department of Mechanical Engineering, Babol University of Technology, P.O. Box 484, Babol, Iran. ' Department of Mechanical Engineering, Babol University of Technology, P.O. Box 484, Babol, Iran. ' Department of Biomechanical Engineering, Amirkabir University of Technology, P.O. Box: 15875-4413, Tehran, Iran

Abstract: In the current investigation, a new optimisation technique called mutable smart bee algorithm (MSBA) is used for optimal design of real-life engineering systems that are subjected to different types of constraints. MSBA is a memory-based diversified optimisation technique that hires mutable smart bee (MSB) instead of conventional bee. MSB heuristic agents are capable of maintaining their historical memory for the location and quality of food sources and also a little chance of mutation is considered for them. Exerted experiments reveal that these features are really effective for optimising multi-modal constraint problems. To elaborate on the authenticity of MSBA, obtained results are compared to state-of-the-art optimisation techniques.

Keywords: mutable smart bee algorithm; MSBA; constraint optimisation; swarm intelligence; engineering optimisation; optimal design; multi-modal constraint problems; bio-inspired computation.

DOI: 10.1504/IJBIC.2012.047241

International Journal of Bio-Inspired Computation, 2012 Vol.4 No.3, pp.167 - 180

Received: 06 Oct 2011
Accepted: 17 Apr 2012
Published online: 22 Sep 2014 *

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