Ant Colony Hyper-heuristics for Travelling Salesman Problem
نویسندگان
چکیده
منابع مشابه
Parallel Implementation of Ant Colony Optimization for Travelling Salesman Problem
A parallel ant colony algorithm for the Travelling Salesman Problem (TSP) is presented. Some experiments using a MPI based framework are made and analyzed. The achieved results prove that the TSP parallel implementation is efficient. Key-Words: Travelling Salesman Problem, Ant Colony Optimization, Parallel Algorithms, Framework, Message Passing Interface.
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Ant colony optimisation techniques are usually guided by pheromone and heuristic cost information when choosing the next element to add to a solution. However, while an individual element may be attractive, usually its long term consequences are neither known nor considered. For instance, a short link in a TSP may be incorporated into an ant’s solution, yet, as a consequence of this link, the r...
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Within the Artificial Intelligence community, there is great need for fast and accurate traversal algorithms, specifically those that find a path from a start to goal with minimum cost. Cost can be distance, time, money, energy, etc. Travelling salesman problem (TSP) is a combinatorial optimization problem. TSP is the most intensively studied problem in the area of optimization. Ant colony opti...
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In this paper we have proposed parallel implementation of Ant colony optimization Ant System algorithm on GPU using OpenCL. We have done comparison on different parameters of the ACO which directly or indirectly affect the result. Parallel comparison of speedup between CPU and GPU implementation is done with a speed up of 3.11x in CPU and 7.21x in GPU. The control parameters α, β, ρ is done wit...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2015
ISSN: 1877-0509
DOI: 10.1016/j.procs.2015.12.333