Theoretical and Computational Research in Various Scheduling Models
Nine manuscripts were published in this Special Issue on "Theoretical and Computational Research in Various Scheduling Models, 2021" of the MDPI Mathematics journal, covering a wide range of topics connected to the theory and applications of various scheduling models and their extensions/g...
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MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Acceso en liña: | Get Fullteks DOAB: description of the publication |
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| LEADER | 04195naaaa2200841uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_78824 | ||
| 005 | 20220224 | ||
| 020 | |a books978-3-0365-3019-2 | ||
| 020 | |a 9783036530192 | ||
| 020 | |a 9783036530185 | ||
| 024 | 7 | |a 10.3390/books978-3-0365-3019-2 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 072 | 7 | |a GP |2 bicssc | |
| 072 | 7 | |a P |2 bicssc | |
| 100 | 1 | |a Wu, Chin-Chia |4 edt | |
| 700 | 1 | |a Lin, Win-Chin |4 edt | |
| 700 | 1 | |a Wu, Chin-Chia |4 oth | |
| 700 | 1 | |a Lin, Win-Chin |4 oth | |
| 245 | 1 | 0 | |a Theoretical and Computational Research in Various Scheduling Models |
| 260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2022 | ||
| 300 | |a 1 electronic resource (208 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a Nine manuscripts were published in this Special Issue on "Theoretical and Computational Research in Various Scheduling Models, 2021" of the MDPI Mathematics journal, covering a wide range of topics connected to the theory and applications of various scheduling models and their extensions/generalizations. These topics include a road network maintenance project, cost reduction of the subcontracted resources, a variant of the relocation problem, a network of activities with generally distributed durations through a Markov chain, idea on how to improve the return loading rate problem by integrating the sub-tour reversal approach with the method of the theory of constraints, an extended solution method for optimizing the bi-objective no-idle permutation flowshop scheduling problem, the burn-in (B/I) procedure, the Pareto-scheduling problem with two competing agents, and three preemptive Pareto-scheduling problems with two competing agents, among others. We hope that the book will be of interest to those working in the area of various scheduling problems and provide a bridge to facilitate the interaction between researchers and practitioners in scheduling questions. Although discrete mathematics is a common method to solve scheduling problems, the further development of this method is limited due to the lack of general principles, which poses a major challenge in this research field. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Research & information: general |2 bicssc | |
| 650 | 7 | |a Mathematics & science |2 bicssc | |
| 653 | |a two-agent | ||
| 653 | |a Pareto-scheduling | ||
| 653 | |a late work | ||
| 653 | |a trade-off curve | ||
| 653 | |a polynomial time | ||
| 653 | |a scheduling | ||
| 653 | |a two agents | ||
| 653 | |a pareto frontier | ||
| 653 | |a approximation algorithms | ||
| 653 | |a unrelated parallel machine scheduling | ||
| 653 | |a simulated annealing | ||
| 653 | |a variable neighborhood descent | ||
| 653 | |a metaheuristic | ||
| 653 | |a production scheduling | ||
| 653 | |a production management | ||
| 653 | |a energy-efficiency | ||
| 653 | |a no-idle flowshop | ||
| 653 | |a metaheuristics | ||
| 653 | |a TOC | ||
| 653 | |a return loading rate | ||
| 653 | |a logistics | ||
| 653 | |a total transport distance | ||
| 653 | |a northwest China | ||
| 653 | |a stochastic makespan | ||
| 653 | |a markov activity network | ||
| 653 | |a phase-type distribution | ||
| 653 | |a resource-constrained scheduling | ||
| 653 | |a relocation problem | ||
| 653 | |a flow shop | ||
| 653 | |a resource recycling | ||
| 653 | |a heuristic algorithms | ||
| 653 | |a ant colony optimization | ||
| 653 | |a scheduling theory | ||
| 653 | |a operations research | ||
| 653 | |a subcontracted resources | ||
| 653 | |a scheduling on parallel machines | ||
| 653 | |a renewable and non-renewable resources | ||
| 653 | |a heuristic methods | ||
| 653 | |a linear project | ||
| 653 | |a linear scheduling method | ||
| 653 | |a equipment idleness | ||
| 653 | |a constraint programming | ||
| 653 | |a equipment combination and configuration | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/4919 |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/78824 |7 0 |z DOAB: description of the publication |