Results 11 to 20 of about 12,918 (212)
A Pheromonal Artificial Bee Colony (pABC) Algorithm for Discrete Optimization Problems
Applied Artificial Intelligence, 2019 The Artificial Bee Colony (ABC) algorithm, which simulates the intelligent foraging behavior of the honeybee colony, is one of the most preferred swarm intelligence-based metaheuristic methods for combinatorial optimization problems. In this study, the local search ability of the ABC algorithm, which can be spread to different regions of the solution ...
Dursun Ekmekci
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Research on spectrum scheduling based on discrete artificial bee colony algorithm
Journal of Physics: Conference Series, 2021 Abstract With the increasing shortage of spectrum resources on the earth, how to ensure the high-quality transmission of satellite wireless signals to the ground has become one of the most important problems in the current satellite ground communication system.
Ying Xiao, Dianjun Chen, Lu Yong Zhang
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IEEE Access, 2021 Transmission expansion planning (TEP) is an important part of power system expansion planning. In TEP, optimal number of new transmission lines and their installation time and place are determined in an economic way.
M. Mahdavi +5 more
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MachinesIn the manufacturing of iron core for high-power transformers, a cutting stock problem arises where large-width silicon steel coils must be cut into narrower coils, known as strips.
Qiang Luo, Zuogan Tang, Chunrong Pan
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CAAI Transactions on Intelligence TechnologyInferring causal protein signalling networks from human immune system cell data is a promising approach to unravel the underlying tissue signalling biology and dysfunction in diseased cells, which has attracted considerable attention within the ...
Jinduo Liu, Jihao Zhai, Junzhong Ji
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IEEE Access, 2020 This paper deals with a new automatic guided vehicle (AGV) scheduling problem from the material handling process in a linear manufacturing workshop. The problem is to determine a sequence of Cells for AGV to travel to minimize the standard deviation of ...
Wen-Qiang Zou, Q. Pan, M. Tasgetiren
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A Discrete Improved Artificial Bee Colony Algorithm for 0–1 Knapsack Problem
IEEE Access, 2019 The present study integrated a discrete search equation to develop a discrete improved artificial bee colony (DiABC) algorithm. A random binary population was added in the initialization. The current optimal solution was then introduced into the search equations for worker and onlooker bees to effectively enhance the convergence accuracy of the ...
Song Zhang, Sanyang Liu
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Optimum Assembly Sequence Planning System Using Discrete Artificial Bee Colony Algorithm [PDF]
Mathematical Problems in Engineering, 2018 Assembly refers both to the process of combining parts to create a structure and to the product resulting therefrom. The complexity of this process increases with the number of pieces in the assembly. This paper presents the assembly planning system design (APSD) program, a computer program developed based on a matrix-based approach and the discrete ...
Özkan Özmen +4 more
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Mathematics, 2022 Recently, new variants of non-systematic satisfiability logic were proposed to govern Discrete Hopfield Neural Network. This new variant of satisfiability logical rule will provide flexibility and enhance the diversity of the neuron states in the ...
Siti Syatirah Muhammad Sidik +5 more
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A comparison of Artificial Bee Colony algorithm and the Genetic Algorithm with the purpose of minimizing the total distance for the Vehicle Routing Problem [PDF]
Revista Română de Informatică și Automatică, 2022 Nowadays, the vehicle routing problem is one of the most important combinational optimization problems and it has received much attention because of its real application in industrial and service-related contexts.
Amel Mounia DJEBBAR, Chérifa BOUDIA
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