Presentation 2008-06-30
Design of Dedicated Hardware for Ant Colony Optimization
Naoyuki ISHIYAMA, Masaya YOSHIKAWA, Hidekazu TERAI,
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Abstract(in English) Ant Colony Optimization (ACO) is inspired by behavior of food gathering of ants, and it is a powerful search tools. However, ACO has the inherent problem of substantial processing time, because its search mechanism is based on a lot of repetitive calculations. In this paper, we propose novel dedicated hardware for Ant Colony Optimization. The proposed hardware introduces hardware-oriented parallel ACO algorithm. It enables search processes of each agent in parallel. Moreover, the proposed hardware adopts a new pheromone control technique using distributed memory. It reduces bottleneck of memory access for updating of pheromone information. Thus, the proposed hardware achieves high speed processing, while keeping the quality of solution in comparison with software processing. Experiments using benchmark data prove the effectiveness of the proposed hardware architecture.
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Keyword(in English) Ant Colony Optimization / proposed hardware / distributed memory
Paper # AI2008-1
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Conference Information
Committee AI
Conference Date 2008/6/23(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Design of Dedicated Hardware for Ant Colony Optimization
Sub Title (in English)
Keyword(1) Ant Colony Optimization
Keyword(2) proposed hardware
Keyword(3) distributed memory
1st Author's Name Naoyuki ISHIYAMA
1st Author's Affiliation Ritsumeikan University()
2nd Author's Name Masaya YOSHIKAWA
2nd Author's Affiliation Meijo University
3rd Author's Name Hidekazu TERAI
3rd Author's Affiliation Meijo University
Date 2008-06-30
Paper # AI2008-1
Volume (vol) vol.108
Number (no) 119
Page pp.pp.-
#Pages 6
Date of Issue