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

  • Authors:

  • Ahmad Mozaffari;Mofid Gorji-Bandpy;Tahereh B. Gorji

  • Affiliations:

  • 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

  • Venue:
  • International Journal of Bio-Inspired Computation
  • Year:
  • 2012

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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.