A taxonomic review of metaheuristic algorithms for solving the vehicle routing problem and its variants

Computers & Industrial Engineering, Journal Year: 2019, Volume and Issue: 140, P. 106242 - 106242

Published: Dec. 26, 2019

Language: Английский

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A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives

Advanced Engineering Informatics, Journal Year: 2021, Volume and Issue: 47, P. 101246 - 101246

Published: Jan. 1, 2021

Language: Английский

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Digital twin-driven service model and optimal allocation of manufacturing resources in shared manufacturing

Journal of Manufacturing Systems, Journal Year: 2021, Volume and Issue: 59, P. 165 - 179

Published: March 1, 2021

Language: Английский

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A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems

Engineering Applications of Artificial Intelligence, Journal Year: 2022, Volume and Issue: 115, P. 105311 - 105311

Published: Aug. 31, 2022

Language: Английский

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Hybrid whale optimization algorithm for enhanced routing of limited capacity vehicles in supply chain management

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Jan. 8, 2024

Abstract The present study focuses on the problem of vehicle routing with limited capacity, objective minimizing transportation distance required to serve h clients predetermined locations and needs. aim is create k trips that cover shortest possible distance. To achieve this goal, a hybrid whale optimization algorithm (hGWOA) proposed, which combines (WOA) grey wolf optimizer (GWO). proposed model comprised two main steps. First step, GWO’s hunting mechanism integrated transitioning utilization phase WOA, newly devised state introduced linked GWO. In second novel technique incorporated into exploration mission enhance resolve after per iteration. algorithm’s performance assessed compared other modern algorithms, including GWO, ant lion (ALO), dragonfly (DA) using 23 benchmark test functions CEC2017 function. results indicate hGWOA method outperforms algorithms in terms delivery for scenarios involving scale complexity. These findings are corroborated through case studies related cement real-world scenario Viet Nam.

Language: Английский

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A comprehensive review on parameter estimation techniques for Proton Exchange Membrane fuel cell modelling

Renewable and Sustainable Energy Reviews, Journal Year: 2018, Volume and Issue: 93, P. 121 - 144

Published: May 22, 2018

Language: Английский

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On modeling stochastic dynamic vehicle routing problems

EURO Journal on Transportation and Logistics, Journal Year: 2020, Volume and Issue: 9(2), P. 100008 - 100008

Published: June 1, 2020

Operations research requires models that unambiguously define problems and support the generation presentation of solution methodology. In field dynamic routing, capturing joint evolution complex sequential routing decisions stochastic information is challenging, leading to a situation where rigorous methods have outpaced thus making it difficult for researchers engage in science. We provide modeling framework strongly connects application with method leverages rich body route-based planning optimization. As generalization conventional Markov decision processes (MDPs), MDPs augment state space, action reward structure include information. Accordingly, make conceptually easier connect typically used solve them – construct revise routes as new learned. anticipate will facilitate more scientific rigor studies, common language, allow better inquiry, improve classification description methods.

Language: Английский

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Review on meta-heuristics approaches for airside operation research

Applied Soft Computing, Journal Year: 2018, Volume and Issue: 66, P. 104 - 133

Published: Feb. 13, 2018

Language: Английский

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An effective discrete artificial bee colony algorithm for multi-AGVs dispatching problem in a matrix manufacturing workshop

Expert Systems with Applications, Journal Year: 2020, Volume and Issue: 161, P. 113675 - 113675

Published: July 1, 2020

Language: Английский

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An Improved Artificial Bee Colony algorithm for real-world hybrid flowshop rescheduling in Steelmaking-refining-Continuous Casting process

Computers & Industrial Engineering, Journal Year: 2018, Volume and Issue: 122, P. 235 - 250

Published: June 1, 2018

Language: Английский

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