Results 41 to 50 of about 8,500 (224)
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
openaire +1 more source
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
doaj +1 more source
A new sequential covering strategy for inducing classification rules with ant colony algorithms [PDF]
, 2012 Ant colony optimization (ACO) algorithms have been successfully applied to discover a list of classification rules. In general, these algorithms follow a sequential covering strategy, where a single rule is discovered at each iteration of the algorithm ...
Otero, Fernando E. B. +3 more
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Ant colony system-based applications to electrical distribution system optimization [PDF]
, 2011 Chapter 16, February ...
Chicco, Gianfranco, Gianfranco Chicco
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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
doaj +1 more source
MGA trajectory planning with an ACO-inspired algorithm [PDF]
, 2009 Given a set of celestial bodies, the problem of finding an optimal sequence of gravity assist manoeuvres, deep space manoeuvres (DSM) and transfer arcs connecting two or more bodies in the set is combinatorial in nature.
Vasile, M., Ceriotti, M.
core +1 more source
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
openaire +2 more sources
Energy Science &Engineering, EarlyView.ABSTRACT The solar photovoltaic (PV) installations, which are essential for renewable energy systems, are vulnerable to partial shading, resulting in considerable power losses and operational inefficiencies. The dynamic reconfiguration of PV arrays has become an effective strategy to mitigate these effects by adaptively modifying the array topology to ...
Manoharan Premkumar +3 more
wiley +1 more source
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
doaj +1 more source