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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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.
Jun Zhang +5 more
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Robot Path Planning of Improved Adaptive Ant Colony System Algorithm Based on Dijkstra
Journal of Robotics, 2022 Path planning is one of the key technologies of robot. Aiming at the problems of slow convergence speed and inefficient search of traditional Ant Colony System Algorithm, an adaptive Ant Colony System Algorithm based on Dijkstra is proposed in the paper.
Chonglin Gu +3 more
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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
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Brainstorming-Based Ant Colony Optimization for Vehicle Routing With Soft Time Windows
IEEE Access, 2019 In this paper, we propose a novel ant colony optimization algorithm based on improved brainstorm optimization (IBSO-ACO) to solve the vehicle routing problem with soft time windows.
Libing Wu +4 more
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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
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Double Ant Colony Algorithm Based on Collaborative Mechanism and Dynamic Regulation Strategy
Jisuanji kexue yu tansuo, 2021 Aiming at the problem that the ant colony algorithm has slow convergence rate and poor diversity in solving traveling salesman problem (TSP), double ant colony algorithm based on collaborative mechanism and dynamic regulation strategy is proposed ...
MENG Jingwen, YOU Xiaoming, LIU Sheng
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A Novel Energy-Saving Route Planning Algorithm for Marine Vehicles
Applied Sciences, 2022 Recently, the ship energy consumption issue has been in the spotlight. Meanwhile, new conventions and standards of ship energy conservation as well as ship emission reduction have been continuously introduced by the International Maritime Organization ...
Ying Ding +4 more
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Local Field Potential‐Based Programming: A Proof‐of‐Concept Pilot Study
Neuromodulation: Technology at the Neural Interface, EarlyView., 2021 Abstract Objectives Programming deep brain stimulation (DBS) is still based on a trial‐and‐error approach, often becoming a time‐consuming process for both treating physicians and patients. Several strategies have been proposed to streamline DBS programming, most of which are preliminary and mainly address Parkinson's disease, a condition readily ...
Alfonso Fasano +10 more
wiley +1 more source
Application of an Improved Ant Colony Algorithm in TSP Problem Solving
Chemical Engineering Transactions, 2016 Ant Colony Algorithm (ACA) is a kind of heuristic search algorithm based on population search. As a new bionic algorithm, ACA has attracted a lot of experts and scholars' attention. And they deduct many different improved versions.
W.D. Ren, W.X. Sun
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