TRIZ-inspired asymmetrical search neighborhood in the bees algorithm

Siti Azfanizam Ahmad*, Duc Truong Pham, Kok Weng Ng, Mei Choo Ang

*Corresponding author for this work

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

6 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - Sixth Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012
PublisherIEEE Xplore
Pages29-33
Number of pages5
ISBN (Electronic)978-0769547305
ISBN (Print)978-0769547305
DOIs
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
Country/TerritoryIndonesia
CityBali
Period29/05/1231/05/12

Keywords

  • asymmetrical
  • search neighborhood
  • The Bees Algorithm
  • TRIZ

ASJC Scopus subject areas

  • Modelling and Simulation

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