Results 1 to 10 of about 146 (117)
A hyper-matheuristic approach for solving mixed integer linear optimization models in the context of data envelopment analysis [PDF]
PeerJ Computer Science, 2022 Mixed Integer Linear Programs (MILPs) are usually NP-hard mathematical programming problems, which present difficulties to obtain optimal solutions in a reasonable time for large scale models.
Martin Gonzalez +3 more
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Two hybrid flow shop scheduling lines with assembly stage and compatibility constraints. [PDF]
PLoS ONETwo hybrid flow shop scheduling lines must be coordinated to assemble batches of terminated products at their last stage. Each product is thus composed of two jobs, each produced in one of the lines.
Rafael Muñoz-Sánchez +3 more
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A hybrid VNS matheuristic for a bin packing problem with a color constraint [PDF]
Yugoslav Journal of Operations Research, 2021 We study a new variant of the bin packing problem with a color constraint. Given a finite set of items, each item has a set of colors. Each bin has a color capacity, the total number of colors for a bin is the unification of colors for its items and ...
Kochetov Yury, Kondakov Arteam
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Energies, 2022 During supply chain redesign processes, many environmental initiatives at facilities and their surrounding regions are affected by the closing, opening, or even broadening of facilities.
Paweł Hanczar, Zahra Azadehranjbar
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Mathematics, 2021 A matheuristic approach based on a reduced two-stage Stochastic Integer Linear Programming (SILP) model is presented. The proposed approach is suitable for obtaining a policy constructed dynamically on the go during the rollout algorithm.
Wadi Khalid Anuar +3 more
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A Matheuristic Algorithm for the Multiple-Depot Vehicle and Crew Scheduling Problem
IEEE Access, 2021 This work addresses the multiple-depot vehicle and crew scheduling problem (MDVCSP). In MDVCSP, we deal with two NP-hard problems in an integrated way: the multiple-depot vehicle scheduling problem (MDVSP) and the crew scheduling problem (CSP).
Emiliana Mara Lopes Simoes +2 more
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Matheuristic Algorithm for Job-Shop Scheduling Problem Using a Disjunctive Mathematical Model
Computers, 2021 This paper focuses on the investigation of a new efficient method for solving machine scheduling and sequencing problems. The complexity of production systems significantly affects companies, especially small- and medium-sized enterprises (SMEs), which ...
Eduardo Guzman +2 more
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Matheuristics for the Design of a Multi-Step, Multi-Product Supply Chain with Multimodal Transport
Applied Sciences, 2021 Supply-chain network design is a complex task because there are many decisions involved, and presently, global networks involve many actors and variables, for example, in the automotive, pharmaceutical, and electronics industries. This research addresses
David A. Ruvalcaba-Sandoval +3 more
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Optimal Power Flow Problem Solution Through a Matheuristic Approach
IEEE Access, 2021 The optimal power flow (OPF) problem is a widely studied subject in the literature that has been solved through classical and metaheuristic optimization techniques.
Juan M. Home-Ortiz +2 more
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Portfolio Optimization Problem: A Taxonomic Review of Solution Methodologies
IEEE Access, 2023 This survey paper provides an overview of current developments for the Portfolio Optimisation Problem (POP) based on articles published from 2018 to 2022. It reviews the latest solution methodologies utilised in addressing POPs in terms of mechanisms and
Zi Xuan Loke +4 more
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