The Two-Echelon Unmanned Ground Vehicle Routing Problem: Extreme-Weather Goods Distribution as a Case Study [PDF]
BiomimeticsIn extreme weather conditions, the use of unmanned ground vehicles (UGVs) for material distribution enhances safety. We introduce a two-echelon unmanned ground vehicle routing problem (2E-UGVRP) and proposes a hybrid Artificial Bee Colony–Wild Horse ...
Chuncheng Fang, Yanguang Cai, Yanlin Wu
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A Discrete Artificial Bee Colony Algorithm for Stochastic Vehicle Scheduling
Complex System Modeling and Simulation, 2022 Vehicle scheduling plays a profound role in public transportation. Especially, stochastic vehicle scheduling may lead to more robust schedules. To solve the stochastic vehicle scheduling problem (SVSP), a discrete artificial bee colony algorithm (DABC ...
Yuanyuan Li, Yindong Shen, Jingpeng Li
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Discrete and Continuous Optimization Based on Hierarchical Artificial Bee Colony Optimizer [PDF]
Journal of Applied Mathematics, 2014 This paper presents a novel optimization algorithm, namely, hierarchical artificial bee colony optimization (HABC), to tackle complex high-dimensional problems.
Lianbo Ma +5 more
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A Hybrid Discrete Artificial Bee Colony Algorithm for Imaging Satellite Mission Planning
IEEE Access, 2023 Imaging satellite mission planning has received more and more attention as one of the core problems in the field of imaging satellite applications. In this paper, a hybrid discrete artificial bee colony (HDABC) algorithm is proposed to address this ...
Yang Yang, Desheng Liu
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A Discrete Improved Artificial Bee Colony Algorithm for 0–1 Knapsack Problem [PDF]
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.
Song Zhang, Sanyang Liu
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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.
Dursun Ekmekci
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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 Method for Degenerate Primer Design Based on Artificial Bee Colony Algorithm
Applied Sciences, 2022 Aiming to address the complex degenerate primer design problem in the biological field, in this paper, we design a degenerate primer optimization model considering primer coverage and degeneracy that allows a small number of base mismatches, and propose ...
Ruhui Liu +4 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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Causative factors of construction and demolition waste generation in Iraq Construction Industry [PDF]
, 2021 The construction industry has hurt the environment from the waste generated during construction activities. Thus, it calls for serious measures to determine the causative factors of construction waste generated.
Obaid, Maytham Kadhim
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