Search Results - (( _ application ((graph algorithm) OR (ant algorithm)) ) OR ( based application new algorithm ))*
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Ant colony optimization algorithm for load balancing in grid computing
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African Buffalo Optimization (ABO): A New Metaheuristic Algorithm
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A Modified ACO-based Search Algorithm for Detecting Protein Functional Module From Protein Interaction Network
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Benchmark simulator with dynamic environment for job scheduling in grid computing
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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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Heuristic factors in ant system algorithm for course timetabling problem
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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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QoS based fair load-balancing: paradigm to IANRA routing algorithm for wireless networks (WNs)
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A new ant based rule extraction algorithm for web classification
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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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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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