TRIZ-inspired asymmetrical search neighborhood in the bees algorithm

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Authors

  • Siti Azfanizam Ahmad
  • Duc Pham
  • Kok Weng Ng
  • Mei Choo Ang

Colleges, School and Institutes

External organisations

  • Universiti Putra Malaysia
  • SIRIM Berhad
  • Universiti Kebangsaan Malaysia

Abstract

The Bees Algorithm, a heuristic optimization procedure that mimics bees foraging behavior, is becoming more popular among swarm intelligence researchers. The algorithm involves neighborhood and global search and is able to find promising solutions to complex multimodal optimization problems. The purpose of neighborhood search is to intensify the search effort around promising solutions, while global search is to enable avoidance of local optima. Normally, a symmetrical search neighborhood is employed in the Bees Algorithm. As opposed to this practice, a TRIZ-inspired asymmetrical search neighborhood was tried in this work to explore the significance of neighborhood symmetry. The algorithm with an asymmetrical search neighborhood was tested on an engineering design problem. The analysis verified that under certain measurements of asymmetry, the proposed algorithm produced a similar performance as that of the Bees Algorithm.

Details

Original languageEnglish
Title of host publicationProceedings - Sixth Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012
Publication statusPublished - 19 Jul 2012
Event6th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012 - Bali, Indonesia
Duration: 29 May 201231 May 2012

Conference

Conference6th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012
CountryIndonesia
CityBali
Period29/05/1231/05/12

Keywords

  • asymmetrical, search neighborhood, The Bees Algorithm, TRIZ

ASJC Scopus subject areas