Results 21 to 30 of about 15,432 (250)
Inducing decision trees with an ant colony optimization algorithm [PDF]
, 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
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 ...
Mikel Garcia de Andoin, Javier Echanobe
openaire +3 more sources
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
core +1 more source
A Novel Fused Optimization Algorithm of Genetic Algorithm and Ant Colony Optimization [PDF]
Mathematical 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
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
Optimization of Computer Network Energy Efficient Routing Based on Improved Ant Algorithm
Chemical 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
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
core +1 more source
Query optimization of distributed database based on multiple ant colony genetic algorithm
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
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
Automated multigravity assist trajectory planning with a modified ant colony algorithm [PDF]
, 2010 The paper presents an approach to transcribe a multigravity assist trajectory design problem into an integrated planning and scheduling problem. A modified Ant Colony Optimization (ACO) algorithm is then used to generate optimal plans corresponding to ...
Vasile, M. +3 more
core +1 more source