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APPLIED MATHEMATICAL SCIENCES ISSN 1312-885X (print) ISSN 1314-7552 (online) |
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Satish Talreja A heuristic proposal in the dimension of ant colony optimization Appl. Math. Sci., Vol. 7, 2013, no. 41-44, 2017-2026 https://doi.org/10.12988/ams.2013.13181 Copyright © 2013 Satish Talreja. This article is distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Cited by (5): Anandkumar Prakasam and Nickolas Savarimuthu, Metaheuristic algorithms and probabilistic behaviour: a comprehensive analysis of Ant Colony Optimization and its variants, Artificial Intelligence Review, 45 (2016), no. 1, 97-130 [CrossRef] E. S. Kumar, A. Sumathi and H. A. Zubar, A hybrid ant colony optimization algorithm for job scheduling in computational grids, Journal of Scientific and Industrial Research, 74 (2015), 377-380 [View at Publisher] T. Alexander and E. Kirubakaran, Optimal QoS based Web Service Choreography using Ant Colony Optimization, International Journal of Computer Applications, 102 (2014), no. 11, 39-46 [CrossRef] A. Bhuvaneswari, E. George Dharma Prakash Raj and J. Sangeetha, A Framework for Handoff Decision and Signal Selection Algorithms for Heterogeneous Network, International Journal of Engineering and Computer Science, 3 (2014), no. 10, 8594-5896 [View at Publisher] Satish Talreja and M. M. Sharma, Amendment in the Concept of Pheromone Evaporation-an Innovative Approach in ant Colony Optimization, International Journal of Mathematical Archive, 4 (2013), no. 9, 66-70 [View at Publisher]
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