Ant colony optimization (ACO) is useful for solving discrete optimization problems whereas the performance of ACO depends on the values of parameters. The ...
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We propose a new model of Ant Colony. Optimization (ACO) to solve the traveling salesman problem (TSP) by introducing ants with memory into.
Author in [13] use Ant colony optimization (ACO) with symbiotic organism search is used to solve the traveling salesman problem. The symbiotic organism search ( ...
Feb 14, 2022 · Ant colony optimization (ACO) is a population-based meta-heuristic for combinatorial optimization problems. It is inspired by the ability of ...
Sep 7, 2022 · Intersting article. I noticed one small mistake, though. NP is not defined based on the problems being pseudopolynomial.
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This rule provides a balance between exploration of new edges and exploitation of accumulated knowledge. A constant amount of pheromone is deposited by each ant ...
Sep 6, 2022 · This problem is defined as follows: Given a complete graph G with weighted edges, find the minimum weight Hamiltonian cycle. That is, a cycle ...
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Oct 12, 2021 · In this paper, an improved ACO algorithm based on an adaptive heuristic factor (AHACO) is proposed to deal with the TSP. In the AHACO, three ...
In this thesis, the author chooses one of the algorithms, it is ant colony algorithm to solve the problem of distribution.Keywords : Searching Closest Distance, ...
Recently, the Ant Colony Optimization (ACO) meta- heuristic has been proposed which provides a unifying framework for most applications of ant algorithms [15, ...