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 language | English |
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Title of host publication | Proceedings - Sixth Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012 |
Publisher | IEEE Xplore |
Pages | 29-33 |
Number of pages | 5 |
ISBN (Electronic) | 978-0769547305 |
ISBN (Print) | 978-0769547305 |
DOIs | |
Publication status | Published - 19 Jul 2012 |
Event | 6th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012 - Bali, Indonesia Duration: 29 May 2012 → 31 May 2012 |
Conference
Conference | 6th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012 |
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Country/Territory | Indonesia |
City | Bali |
Period | 29/05/12 → 31/05/12 |
Keywords
- asymmetrical
- search neighborhood
- The Bees Algorithm
- TRIZ
ASJC Scopus subject areas
- Modelling and Simulation