Modified Ant Colony Optimization Algorithm for Travelling Salesman Problem
نویسندگان
چکیده
منابع مشابه
Modified Ant Colony Optimization Algorithm for Travelling Salesman Problem
Limited amount of time and computational resources in industrial domain makes Ant Colony Optimization (ACO) a useful approach to find near optimal solutions in polynomial time for Nondeterministic Polynomial time (NP) problems. For dynamically changing graphs, such as in case of network routing and urban transportation systems which are based on Travelling Salesman Problem (TSP), the ant colony...
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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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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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-The ant colony optimization takes insipiration from the foraging behavior of some ant species.These ants deposits pheromone on the ground in order to make some suitable path that should be followed by other members of the colony.The goal of this paper is to introduce ant colony optimization and to survey its most notable applications.In this paper we focus on some research efforts directed at ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/17043-7353