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Distributed Optimization by Ant Colonies

1992
info:eu-repo/semantics ...
COLORNI VITALE, ALBERTO   +2 more
openaire   +2 more sources

Parallelization strategies for Ant Colony Optimization

1998
Ant Colony Optimization (ACO) is a new population oriented search metaphor that has been successfully applied to NP-hard combinatorial optimization problems. In this paper we discuss parallelization strategies for Ant Colony Optimization algorithms.
openaire   +2 more sources

Ant Colony Optimization

Genetic Programming and Evolvable Machines, 2005
Guntsch, M., Branke, J.
openaire   +2 more sources

Ant Colony Optimization

2016
Ants are capable of finding the shortest path between the food and the colony using a pheromone-laying mechanism. ACO is a metaheuristic optimization approach inspired by this foraging behavior of ants. This chapter is dedicated to ACO.
Ke-Lin Du, M. N. S. Swamy
openaire   +1 more source

Random following ant colony optimization: Continuous and binary variants for global optimization and feature selection

Applied Soft Computing Journal, 2023
Xinsen Zhou   +2 more
exaly  

Ant colony optimization

2023
Chun-Wei Tsai, Ming-Chao Chiang
openaire   +1 more source

Ant colony optimization: Introduction and recent trends

Physics of Life Reviews, 2005
Christian Blum
exaly  

Ant colony optimization for continuous domains

European Journal of Operational Research, 2008
Krzysztof Socha, Marco Dorigo
exaly  

Optimization of multi-pass turning operations using ant colony system

International Journal of Machine Tools and Manufacture, 2003
G Prabhaharan, P Asokan, R Saravanan
exaly  

Ant Colony Optimization Algorithms for Dynamic Optimization: A Case Study of the Dynamic Travelling Salesperson Problem [Research Frontier]

IEEE Computational Intelligence Magazine, 2020
Michalis Mavrovouniotis   +2 more
exaly  

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