Ant Colony Optimization for multicore re-configurable architecture-Reference-Cited by-同舟云学术

Ant Colony Optimization for multicore re-configurable architecture

Published:2016-11-15 Issue:5 Volume:29 Page:595-606
ISSN:1875-8452
Container-title:AI Communications
language:
Short-container-title:AIC

Author:

Hussain Ishfaq¹,Ahmad Ayaz²,Qadri Muhammad Yasir³,Qadri Nadia N.²,Ahmed Jameel⁴

Affiliation:

1. HITEC University, Taxila, Pakistan

2. Department of Electrical Engineering, COMSATS Institute of Information Technology, Wah Cantt., Pakistan

3. School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK

4. Faculty of Engineering and Applied Sciences, Riphah International University, Islamabad, Pakistan

Publisher

IOS Press

Subject

Artificial Intelligence

Reference37 articles.

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4. Y.-T. Chen, J. Cong, H. Huang, B. Liu, C. Liu, M. Potkonjak and G. Reinman, Dynamically reconfigurable hybrid cache: An energy-efficient last-level cache design, in: Design, Automation & Test in Europe Conference & Exhibition (DATE), 2012, IEEE, 2012, pp. 45–50.

5. Ant colony system: A cooperative learning approach to the traveling salesman problem;Dorigo;Evolutionary Computation, IEEE Transactions on,1997

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