Search Results - (( _ application ((ant algorithm) OR (acs algorithm)) ) OR ( its application path algorithm ))*
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Improved Dynamic Ant Colony System (DACS) on Symmetric Traveling Salesman Problem (TSP).
Published 2007Get full text
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Embedding Malaysian House Red Ant Behavior into an Ant Colony System
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Strategies DACS3 Increasing its Performances
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Railway shortest path planner application using ant colony optimization algorithm / Muhammad Hassan Firdaus Ruslan
Published 2017“…For the process module, Ant Colony Optimization (ACO) algorithm was used to find the shortest path. …”
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A novel swarm-based optimisation algorithm inspired by artificial neural glial network for autonomous robots
Published 2019“…The main idea in this algorithm is the indirect communication between the ants which is established by the means of pheromones in finding the shortest path between their nest and food [14]. …”
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Reducing Iteration Using Candidate List
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New heuristic function in ant colony system for the travelling salesman problem
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Ant colony optimization in dynamic environments
Published 2010“…In order to achieve this objective, six ant algorithms namely Ant System (AS), Ant Colony System (ACS), Best-Worst Ant System (BWAS), Elitist Ant System (EAS), Max-Min Ant System (MMAS) and Rank-Based Ant System (RBAS) were implemented to solve a dynamic optimization problem in the form of the dynamic Traveling Salesman Problem (TSP). …”
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New heuristic function in ant colony system algorithm
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Ant system with heuristics for capacitated vehicle routing problem
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Ant Colony Optimization for Tourist Route
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DACS3:Embedding Individual Ant Behavior in Ant Colony System
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Scheduling jobs in computational grid using hybrid ACS and GA approach
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Gait identification and optimisation for amphi-underwater robot by using ant colony algorithm
Published 2019“…For the optimization, the robot will travel from one specific point to another with the predefined position within optimized gait and fastest time by using Ant Colony Optimization (ACO) technique. The algorithm being compared, between Ant Colony Algorithm (ACO) and the Particle Swarm Optimisation (PSO) in terms of time and distance. …”
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Low and high level hybridization of ant colony system and genetic algorithm for job scheduling in grid computing
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