Results 21 to 30 of about 4,109,390 (219)

Orthogonal methods based ant colony search for solving continuous optimization problems [PDF]

open access: yes, 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
core   +1 more source

Discovering Regression Rules with Ant Colony Optimization [PDF]

open access: yes, 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
core   +1 more source

Inducing decision trees with an ant colony optimization algorithm [PDF]

open access: yes, 2012
Decision trees have been widely used in data mining and machine learning as a comprehensible knowledge representation. While ant colony optimization (ACO) algorithms have been successfully applied to extract classification rules, decision tree induction ...
Otero, Fernando E.B.   +2 more
core   +1 more source

Continuous function optimization using hybrid ant colony approach with orthogonal design scheme [PDF]

open access: yes, 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
core   +1 more source

A Novel Fused Optimization Algorithm of Genetic Algorithm and Ant Colony Optimization [PDF]

open access: yesMathematical Problems in Engineering, 2016
A novel fused algorithm that delivers the benefits of both genetic algorithms (GAs) and ant colony optimization (ACO) is proposed to solve the supplier selection problem. The proposed method combines the evolutionary effect of GAs and the cooperative effect of ACO.
FuTao Zhao   +3 more
openaire   +1 more source

Dynamic ant colony algorithm based on cw saving Value

open access: yesMATEC 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

Query optimization of distributed database based on multiple ant colony genetic algorithm

open access: yes上海师范大学学报. 自然科学版, 2018
In the light of the defect of single algorithm of query optimization,this paper proposes a multiple ant colony genetic algorithm combining the advantages of ant colony algorithm and genetic algorithmwhich overcomes the blindness of early search of ant ...
Zhou Ying, Chen Junhua
doaj   +1 more source

Optimization of Computer Network Energy Efficient Routing Based on Improved Ant Algorithm

open access: yesChemical Engineering Transactions, 2016
Computer network route optimization has been a subject of more attention in the art. This article routing optimization issues in-depth study of the ant colony algorithm to solve distributed parallelism, and propose measures for improvement ant colony ...
H.Y. Zhang, Q.H. Liu
doaj   +1 more source

Implementable hybrid quantum ant colony optimization algorithm

open access: yesQuantum 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 ...
Mikel Garcia de Andoin, Javier Echanobe
openaire   +4 more sources

Ant Colony Optimization Algorithm for Continuous Domains Based on Position Distribution Model of Ant Colony Foraging

open access: yesThe 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

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