Results 61 to 70 of about 4,246 (160)

An Enhanced Ant Colony Optimization (ACO) Methodology for Fuel Lattice Design Optimization

Conference paper presented at PHYSOR 2026 - The International Conference on Physics of Reactors. Published in Proceedings of PHYSOR 2026 International Conference. ISBN: 979-12-81583-46-7. Conference website: https://www.physor2026.org/. Session: R02. Light-Water Reactors Design & Core Analysis. Paper ID: 631.
T. Huang, C. Chen, T. Lee
openaire   +2 more sources

蚁群神经网络在齿轮箱故障诊断中的研究与应用

Jixie chuandong, 2007
Ant colony optimization（ACO） algorithm is led into training of and neural networks,which based on ACO algorithm and the implementing framework of ACO.The basic theory and steps of ACO training neural networks are given,and applied in fault diagnosis of ...
吴玉国, 宋崇智
doaj  

Research on Parallel Multi-objective Optimal Submarine Cable Route Planning Algorithm

Guangtongxin yanjiu
【Objective】In order to solve the problem that the traditional Ant Colony Optimization (ACO) algorithm updates the same map, resulting in the inability of parallel planning, a parallel multi-objective optimization submarine cable route planning algorithm ...
JIANG Jiarui, ZHAO Zanshan, DUAN Maosheng, GAO Guanjun   +3 more
doaj  

Reducing ACO Population Size to Increase Computational Speed

Tehnički Glasnik
Ant Colony Optimization (ACO) is a powerful metaheuristic algorithm widely used to solve complex optimization problems in production and logistics. This paper presents a methodology for enhancing the ACO performance when applied to Traveling Salesman ...
Luka Olivari
doaj   +1 more source

Mobile Robot Path Planning in an Obstacle-free Static Environment using Multiple Optimization Algorithms

Nigerian Journal of Technological Development, 2020
This article presents the implementation and comparison of fruit fly optimization (FOA), ant colony optimization (ACO) and particle swarm optimization (PSO) algorithms in solving the mobile robot path planning problem.
Chika Yinka-Banjo, U. Agwogie
doaj  

Implementation of Ant Colony Optimization (ACO) Algorithm for Route Optimization of Tourist Paths in Takengon

Journal of Applied Informatics and Computing
This study aims to design and implement a system for determining the shortest route between tourist destinations in Takengon using the Ant Colony Optimization (ACO) algorithm. The system is developed to assist travelers in obtaining efficient visitation routes based on distance and travel time.
Fitra Suryana, Nurdin Nurdin, Defry Hamdhana   +2 more
openaire   +1 more source

A DOCUMENT CLUSTERING METHOD BASED ON ANT ALGORITHMS

TASK Quarterly, 2007
Ant Algorithms, particularly the Ant Colony Optimization (ACO) metaheuristic, are universal, flexible and scalable because they are based on multi-agent cooperation.
ŁUKASZ MACHNIK
doaj  

ACO-CLS: Ant Colony Optimization-Based Collaborative Localization and Search for Multi-Robot Systems. [PDF]

Sensors (Basel)
He Z, Tang X, Zhang F.
europepmc   +1 more source

High-Dimensional Small-Sample Feature Selection Using Co-Evolutionary Ant Colony Optimization Inspired by Heterosis. [PDF]

Biomimetics (Basel)
Xiang C, Zhou J, Ye Z, Xiong Z, Song A, Song D, Sun J.   +6 more
europepmc   +1 more source

Energy optimized scheduling in wireless sensor networks (WSNs) using hybrid bio-inspired reinforcement learning approach. [PDF]

Sci Rep
Sarobin MVR, Akil S, Shalu SB, Sriyaa S, Tamizhnambi Y, HariShankar S.   +5 more
europepmc   +1 more source