Results 11 to 20 of about 40,576 (238)
SamACO: variable sampling ant colony optimization algorithm for continuous optimization [PDF]
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2010 An ant colony optimization (ACO) algorithm offers algorithmic techniques for optimization by simulating the foraging behavior of a group of ants to perform incremental solution constructions and to realize a pheromone laying-and-following mechanism ...
Chung, H.S. +4 more
core +4 more sources
Dynamic impact for ant colony optimization algorithm [PDF]
Swarm and Evolutionary Computation, 2022 14 pages, 5 tables, 3 ...
Jonas Skackauskas +3 more
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Implementable hybrid quantum ant colony optimization algorithm
Quantum Machine Intelligence, 2022 AbstractWe propose a new hybrid quantum algorithm based on the classical Ant Colony Optimization algorithm to produce approximate solutions for NP-hard problems, in particular optimization problems. First, we discuss some previously proposed Quantum Ant Colony Optimization algorithms, and based on them, we develop an improved algorithm that can be ...
M. Garcia de Andoin, J. Echanobe
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Mathematics, 2022 Various studies have shown that the ant colony optimization (ACO) algorithm has a good performance in approximating complex combinatorial optimization problems such as traveling salesman problem (TSP) for real-world applications. However, disadvantages such as long running time and easy stagnation still restrict its further wide application in many ...
Shugang Li +4 more
openaire +2 more sources
An ant colony genetic fusion routing algorithm based on soft define network
IET Networks, EarlyView., 2022 Abstract Aiming at the problem that there are many paths in data forwarding in soft define network (SDN) network, and the optimal path is difficult to find, combined with the advantages of ant colony algorithm and Genetic algorithm (GA), a routing control strategy based on the ant colony genetic fusion algorithm is proposed.
Kaixin Zhao, Yong Wei, Yang Zhang
wiley +1 more source
IET Networks, EarlyView., 2022 Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi +4 more
wiley +1 more source
Meta-heuristic algorithms in car engine design: a literature survey [PDF]
, 2015 Meta-heuristic algorithms are often inspired by natural phenomena, including the evolution of species in Darwinian natural selection theory, ant behaviors in biology, flock behaviors of some birds, and annealing in metallurgy.
Tayarani-N, Mohammad-H. +2 more
core +2 more sources
The Scientific World Journal, 2014 Ant colony optimization algorithm for continuous domains is a major research direction for ant colony optimization algorithm. In this paper, we propose a distribution model of ant colony foraging, through analysis of the relationship between the position
Liqiang Liu, Yuntao Dai, Jinyu Gao
doaj +1 more source
Dynamic ant colony algorithm based on cw saving Value
MATEC Web of Conferences, 2018 As a swarm intelligence optimization algorithm, ant colony algorithm (ACO) has a good application in combinatorial optimization problems, in which traveling salesman problem (TSP) is an important application of ACO algorithm.
Yao Jiang-Gu, Gao Jian
doaj +1 more source
The Hybrid ColorAnt-RT Algorithms and an Application to Register Allocation
Inteligencia Artificial, 2015 Ant Colony Optimization is a metaheuristic used to create heuristic algorithms to find good solutions for combinatorial optimization problems. This metaheuristic is inspired on the effective behavior present in some species of ants of exploring the ...
Mauro Mulati, +2 more
doaj +1 more source