Results 201 to 210 of about 100,368 (278)
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Journal of Cleaner Production, 2019
Vehicle routing problem (VRP) is one of the widely researched areas in transportation science, mainly due to the potential cost savings and service improvement opportunities which brings to organizations involved in physical distribution of goods.
Yongbo Li, H. Soleimani, Mostafa Zohal
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Vehicle routing problem (VRP) is one of the widely researched areas in transportation science, mainly due to the potential cost savings and service improvement opportunities which brings to organizations involved in physical distribution of goods.
Yongbo Li, H. Soleimani, Mostafa Zohal
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Structural topology optimization using ant colony optimization algorithm
Applied Soft Computing, 2009The ant colony optimization (ACO) algorithm, a relatively recent bio-inspired approach to solve combinatorial optimization problems mimicking the behavior of real ant colonies, is applied to problems of continuum structural topology design. An overview of the ACO algorithm is first described.
Guan-Chun Luh, Chun-Yi Lin
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A new hybrid ant colony optimization algorithm for solving the no-wait flow shop scheduling problems
Applied Soft Computing Journal, 2018This paper proposes an effective new hybrid ant colony algorithm based on crossover and mutation mechanism for no-wait flow shop scheduling with the criterion to minimize the maximum completion time.
Orhan Engin, Abdullah Güçlü
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A Bilevel Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem
IEEE Transactions on Cybernetics, 2021The development of electric vehicle (EV) techniques has led to a new vehicle routing problem (VRP) called the capacitated EV routing problem (CEVRP). Because of the limited number of charging stations and the limited cruising range of EVs, not only the ...
Ya-Hui Jia, Yi Mei, Mengjie Zhang
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Ad hoc networks, 2021
Wireless Sensor Networks (WSNs) consist of a large number of spatially distributed sensor nodes connected through the wireless medium to monitor and record the physical information from the environment.
P. Maheshwari, A. Sharma, K. Verma
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Wireless Sensor Networks (WSNs) consist of a large number of spatially distributed sensor nodes connected through the wireless medium to monitor and record the physical information from the environment.
P. Maheshwari, A. Sharma, K. Verma
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Parallel Ant Colony Optimization Algorithm
2006 6th World Congress on Intelligent Control and Automation, 2006Ant colony optimization algorithm is a good way to solve complex multi-stage decision problems. But the construction graph and computation steps for an ant to construct a solution in the construction graph will be exponentially increased, if the stage number and decision variable dimension of complex multi-stage decision problem are increasing. It will
null Hong Liu, null Ping Li, null Yu Wen
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Adaptive ant colony optimization algorithm
2014 International Conference on Mechatronics and Control (ICMC), 2014An adaptive ant colony algorithm is proposed to overcome the premature convergence problem in the conventional ant colony algorithm. The adaptive ant colony is composed of three groups of ants: ordinary ants, abnormal ants and random ants. Each ordinary ant searches the path with the high concentration pheromone at the high probability, each abnormal ...
Gu Ping +4 more
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Research on Path Planning of AGV Based on Improved Ant Colony Optimization Algorithm
Chinese Control and Decision Conference, 2021Path planning is a key problem in the motion control of mobile robot. In order to solve the problem that the traditional storage mode of automatic container terminal affects the overall operation efficiency, this paper puts forward a matrix yard storage ...
Jiuxiang Sun, Yanan Yu, Ling Xin
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A best-path-updating information-guided ant colony optimization algorithm
Information Sciences, 2018Jiaxu Ning +3 more
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Fuzzy-based ant colony optimization algorithm
2010 2nd International Conference on Computer Technology and Development, 2010Real world problems don't always come with sufficient, complete, and precise data; classical algorithms are facing some limitations like inefficiency of handling imprecise data or uncertain information. Therefore there is a need for finding powerful techniques to handle such situations.
Assem A. Alsawy, Hesham A. Hefny
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