Search Results - (( based application bee algorithm ) OR ( _ application ((ant algorithm) OR (acs algorithm)) ))
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Hybridization of enhanced ant colony system and Tabu search algorithm for packet routing in wireless sensor network
Published 2020“…Swarm intelligence algorithms have been applied in solving these problems including the Ant Colony System (ACS) which is one of the ant colony optimization variants. …”
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Optimal design of step – cone pulley problem using the bees algorithm
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A class skew-insensitive ACO-based decision tree algorithm for imbalanced data sets
Published 2021“…Ant-tree-miner (ATM) has an advantage over the conventional decision tree algorithm in terms of feature selection. …”
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A novel swarm-based optimisation algorithm inspired by artificial neural glial network for autonomous robots
Published 2019“…Some of the examples highlighted by [13] are a combinatorial optimisation, routing communications network, as well as solving robotics applications. According to [13], the two best-known swarm intelligence algorithms are Particle Swarm Optimisation (PSO) and Ant Colony Optimisation (ACO). …”
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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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Embedding Malaysian House Red Ant Behavior into an Ant Colony System
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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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Low and high level hybridization of ant colony system and genetic algorithm for job scheduling in grid computing
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DACS3: Embedding Malaysian Individual Ant Behavior in Ant Colony System
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Improved Dynamic Ant Colony System (DACS) on Symmetric Traveling Salesman Problem (TSP).
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Strategic oscillation for exploitation and exploration of ACS algorithm for job scheduling in static grid computing
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Interacted multiple ant colonies optimization framework: An experimental study of the evaluation and the exploration techniques to control the search stagnation
Published 2010“…The performance of IMACO was demonstrated by comparing it with the best performing ant algorithms like Ant Colony System (ACS) and Max-Min Ant System (MMAS). …”
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Improvement DACS3 Searching Performance using Local Search
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