Results 121 to 130 of about 8,500 (224)
Automatic MGA trajectory planning with a modified ant colony optimization algorithm
, 2009 This paper assesses the problem of designing multiple gravity assist (MGA) trajectories, including the sequence of planetary encounters. The problem is treated as planning and scheduling of events, such that the original mixed combinatorial-continuous ...
Vasile, M., Ceriotti, M.
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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
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Routing design for less-than-truckload motor carriers using ant colony techniques [PDF]
, 2004 One of the most important challenges for Less-Than-Truck-Load carriers consists of determining how to consolidate flows of small shipments to minimize costs while maintaining a certain level of service.
Álvarez, María Jesús +3 more
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Emergency Automobile Data Transmission with Ant Colony Optimization (ACO)
Journal of Advances in Information Technology, 2023 Chetana Hemant Nemade, Uma Pujeri
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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 +3 more
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Reducing ACO Population Size to Increase Computational Speed
Tehnički GlasnikAnt 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
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
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Journal of Applied Informatics and ComputingThis 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 +2 more
openaire +1 more source
Ant-colony-based multiuser detection for multifunctional-antenna-array-assisted MC DS-CDMA systems
, 2008 A novel Ant Colony Optimization (ACO) based Multi-User Detector (MUD) is designed for the synchronous Multi-Functional Antenna Array (MFAA) assisted Multi-Carrier Direct-Sequence Code-Division Multiple-Access (MC DS-CDMA) uplink (UL), which supports both
Xu, C., Yang, L-L., Hanzo, L., Hu, B.
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Self-evolving ant colony optimization and its application to traveling salesman problem [PDF]
, 2012 Ant colony optimization (ACO) algorithms are a recently developed, popula- tion-based approach which has been successfully applied to combinatorial optimization problems.
Wang, Rong-Long, Zhou, Xiao-Fan
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