Results 11 to 20 of about 44,920 (246)
Review of Swarm Intelligence for Solving Symmetric Traveling Salesman Problem
Qubahan Academic Journal, 2023 Swarm Intelligence algorithms are computational intelligence algorithms inspired from the collective behavior of real swarms such as ant colony, fish school, bee colony, bat swarm, and other swarms in the nature.
Awaz Ahmad Shaban +3 more
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Intelligent Feature Selection Methods: A Survey [PDF]
Engineering and Technology Journal, 2021 Consider feature selection is the main in intelligent algorithms and machine learning to select the subset of data to help acquire the optimal solution.
Noor Jameel, Hasanen S. Abdullah
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Jisuanji kexue yu tansuo, 2021 Aiming at the problems of traditional ant colony algorithm in solving traveling salesman problem (TSP), such as slow convergence speed and easy to fall into local optimum, an ant colony optimization algorithm (RCACO) based on dynamic recombination and ...
LIU Yifan, YOU Xiaoming, LIU Sheng
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A Comparative Study on the Use of Classification Algorithms in Financial Forecasting [PDF]
, 2014 Financial forecasting is a vital area in computational finance, where several studies have taken place over the years. One way of viewing financial forecasting is as a classification problem, where the goal is to find a model that represents the ...
F Otero, J Koza, S García, SH Chen
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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.
A C Zecchin +27 more
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Adaptive multimodal continuous ant colony optimization [PDF]
, 2017 Seeking multiple optima simultaneously, which multimodal optimization aims at, has attracted increasing attention but remains challenging. Taking advantage of ant colony optimization algorithms in preserving high diversity, this paper intends to extend ...
Chen, Wei-Neng +6 more
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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
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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
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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
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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
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