Search Results - (( _ application ((ant algorithm) OR (search algorithm)) ) OR ( web applications ria algorithm ))*
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Interacted Multiple Ant Colonies for Search Stagnation Problem
Published 2010“…The experimental results show the superiority of the proposed approach than existing one colony ant algorithms like the ant colony system and max-min ant system. …”
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Ant colony optimization in dynamic environments
Published 2010“…For this purpose, three local search algorithms namely 2-opt, 2.S-opt and 3-opt were chosen to be coupled with the ant algorithm in order to solve the dynamic TSP. …”
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An adaptive ant colony optimization algorithm for rule-based classification
Published 2020“…Ant-Miner is a variant of ant colony optimisation and a prominent intelligent algorithm widely use in rules-based classification. …”
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A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation mechanism
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Hybridization of enhanced ant colony system and Tabu search algorithm for packet routing in wireless sensor network
Published 2020“…Better performances were also achieved for success rate, throughput, and latency when compared to other hybrid routing algorithms such as Fish Swarm Ant Colony Optimization (FSACO), Cuckoo Search-based Clustering Algorithm (ICSCA), and BeeSensor-C. …”
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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“…Search stagnation is a serius prblem that all Ant Colony Optimization (ACO) algorithms suffer from regardless of their application domain. …”
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Improvement DACS3 Searching Performance using Local Search
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Reactive max-min ant system: An experimental analysis of the combination with K-OPT local searches
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Rule pruning techniques in the ant-miner classification algorithm and its variants: A review
Published 2018“…Rule-based classification is considered an important task of data classification.The ant-mining rule-based classification algorithm, inspired from the ant colony optimization algorithm, shows a comparable performance and outperforms in some application domains to the existing methods in the literature.One problem that often arises in any rule-based classification is the overfitting problem. …”
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A comparative performance analysis of computational intelligence techniques to solve the asymmetric travelling salesman problem
Published 2021“…The comparative algorithms in this study employ different techniques in their search for solutions to ATSP: the African Buffalo Optimization employs the modified Karp–Steele mechanism, Model-Induced Max-Min Ant Colony Optimization (MIMM-ACO) employs the path construction with patching technique, Cooperative Genetic Ant System uses natural selection and ordering; Randomized Insertion Algorithm uses the random insertion approach, and the Improved Extremal Optimization uses the grid search strategy. …”
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Reactive memory model for ant colony optimization and its application to TSP
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A new ant based rule extraction algorithm for web classification
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Grid load balancing using enhance ant colony optimization
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Ant colony optimization based subset feature selection in speech processing: Constructing graphs with degree sequences
Published 2024journal::journal article -
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A Modified ACO-based Search Algorithm for Detecting Protein Functional Module From Protein Interaction Network
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