Results 21 to 30 of about 21,443 (267)
Dynamic Path Optimization Based on Improved Ant Colony Algorithm
Journal of Advanced Transportation, 2023 Dynamic path optimization is an important part of intelligent transportation systems (ITSs). Aiming at the shortcomings of the current dynamic path optimization method, the improved ant colony algorithm was used to optimize the dynamic path.
Juan Cheng
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On the Invariance of Ant Colony Optimization [PDF]
IEEE Transactions on Evolutionary Computation, 2007 Ant colony optimization (ACO) is a promising metaheuristic and a great amount of research has been devoted to its empirical and theoretical analysis. Recently, with the introduction of the hypercube framework, Blum and Dorigo have explicitly raised the issue of the invariance of ACO algorithms to transformation of units.
Mauro Birattari +2 more
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Adding Negative Learning to Ant Colony Optimization: A Comprehensive Study
Mathematics, 2021 Ant colony optimization is a metaheuristic that is mainly used for solving hard combinatorial optimization problems. The distinctive feature of ant colony optimization is a learning mechanism that is based on learning from positive examples. This is also
Teddy Nurcahyadi, Christian Blum
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Assessment of performance metrics for fusion network
Kuwait Journal of Science, 2021 The arrangement which does not necessitate any infrastructure for doing discussion among nodes is called as mobile ad-hoc network. In this paper the direction-finding technique which is mixture of particle swarm optimization and ant colony optimization ...
Rohan Gupta +2 more
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Orthogonal methods based ant colony search for solving continuous optimization problems [PDF]
, 2008 Research into ant colony algorithms for solving continuous optimization problems forms one of the most significant and promising areas in swarm computation.
Jun Zhang +5 more
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Ant Colony Optimization for optimal control [PDF]
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 2008 Ant Colony Optimization (ACO) has proven to be a very powerful optimization heuristic for Combinatorial Optimization Problems (COPs). It has been demonstrated to work well when applied to various NP-complete problems, such as the traveling salesman problem. In this paper, an ACO approach to optimal control is proposed.
Jelmer van Ast +2 more
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Continuous function optimization using hybrid ant colony approach with orthogonal design scheme [PDF]
, 2006 A hybrid Orthogonal Scheme Ant Colony Optimization (OSACO) algorithm for continuous function optimization (CFO) is presented in this paper. The methodology integrates the advantages of Ant Colony Optimization (ACO) and Orthogonal Design Scheme (ODS ...
Jun Zhang +9 more
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Learning Multi-Tree Classification Models with Ant Colony Optimization [PDF]
, 2014 Ant Colony Optimization (ACO) is a meta-heuristic for solving combinatorial optimization problems, inspired by the behaviour of biological ant colonies. One of the successful applications of ACO is learning classification models (classifiers).
Otero, Fernando E.B. +3 more
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Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach
Wasit Journal of Computer and Mathematics Science, 2023 The Apriori algorithm creates all possible association rules between items in the database using the Association Rule Mining and Apriori Algorithm. Using Ant Colony Optimization, a new algorithm is proposed for improving association rule mining results.
Roni La’biran, Muhammad Kristiawan
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Discovering Regression Rules with Ant Colony Optimization [PDF]
, 2015 The majority of Ant Colony Optimization (ACO) algorithms for data mining have dealt with classification or clustering problems. Regression remains an unexplored research area to the best of our knowledge.
Brookhouse, James +3 more
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