Opposition-Based Ant Colony Optimization Algorithm for the Traveling Salesman Problem
Mathematics, 2020 Opposition-based learning (OBL) has been widely used to improve many swarm intelligent optimization (SI) algorithms for continuous problems during the past few decades.
Zhaojun Zhang +4 more
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A Navigation Satellites Selection Method Based on ACO With Polarized Feedback
IEEE Access, 2020 Selecting the optimal satellite subset for positioning from all satellites in view can not only achieve positioning accuracy but also reduce the computational burden.
Huazheng Du +5 more
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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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Heliyon, 2023 This study proposes a novel hybrid Firefly Algorithm, Genetic Algorithm, and Ant Colony Optimization Algorithm (FAGAACO) for spectrum allocation in TV White Space (TVWS) networks.
Jacob Bol Mach +2 more
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A Hybrid Monte Carlo Ant Colony Optimization Approach for Protein Structure Prediction in the HP Model [PDF]
Electronic Proceedings in Theoretical Computer Science, 2013 The hydrophobic-polar (HP) model has been widely studied in the field of protein structure prediction (PSP) both for theoretical purposes and as a benchmark for new optimization strategies.
Giancarlo Mauri, Andrea G. Citrolo
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BFO-ACO roaming path planning based on multi-constraint scenarios
Shenzhen Daxue xuebao. Ligong ban, 2022 In recent years, when the path planning based on ant colony algorithm is used to find the optimal path under multiple constraints, it is easy to fall into the local optimal solution and lead to slow convergence.
LIN Xiaoling +3 more
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Ant Colony Optimization Analysis on Overall Stability of High Arch Dam Basis of Field Monitoring
The Scientific World Journal, 2014 A dam ant colony optimization (D-ACO) analysis of the overall stability of high arch dams on complicated foundations is presented in this paper. A modified ant colony optimization (ACO) model is proposed for obtaining dam concrete and rock mechanical ...
Peng Lin +3 more
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Ant-Set: A Subset-Oriented Ant Colony Optimization Algorithm for the Set Covering Problem [PDF]
Journal of Universal Computer Science, 2020 This paper proposes an algorithm for the set covering problem based on the metaheuristic Ant Colony Optimization (ACO) called Ant-Set, which uses a lineoriented approach and a novelty pheromone manipulation based on the connections between components of ...
Murilo Falleiros Lemos Schmitt +4 more
doaj +3 more sources
Implementation of iterative k-means-+ and ant colony optimization (ACO) in portfolio optimization problem [PDF]
AIP Conference Proceedings, 2020 Portfolio optimization aims to provide investors with the highest returns and the least amount of risk. To that end, investors diversify to improve a portfolio’s effectiveness by reducing risks. In this research, we used the iterative k-means -+ algorithm as a clustering method and ant colony optimization (ACO).
M. A. Rezani +2 more
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ACO-tagger: A Novel Method for Part-of-Speech Tagging using Ant Colony Optimization
CoRR, 2023 Swarm Intelligence algorithms have gained significant attention in recent years as a means of solving complex and non-deterministic problems. These algorithms are inspired by the collective behavior of natural creatures, and they simulate this behavior to develop intelligent agents for computational tasks. One such algorithm is Ant Colony Optimization (
Amirhossein Mohammadi +2 more
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