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Failure-directed search for constraint-based scheduling
This paper presents a new constraint programming search algorithm that is designed for a
broad class of scheduling problems. Failure-directed Search (FDS) assumes that there is no …
broad class of scheduling problems. Failure-directed Search (FDS) assumes that there is no …
Memetic algorithms for the job shop scheduling problem with operators
The job-shop scheduling problem with operators (JSO) is an extension of the classic job-
shop problem in which an operation must be assisted by one of a limited set of human …
shop problem in which an operation must be assisted by one of a limited set of human …
Combining hyper-heuristics to evolve ensembles of priority rules for on-line scheduling
Combining metaheuristics is a common technique that may produce high quality solutions to
complex problems. In this paper, we propose a combination of Genetic Programming (GP) …
complex problems. In this paper, we propose a combination of Genetic Programming (GP) …
Novel MINLP model and Lamarckian learning-enhanced multi-objective optimization algorithm for smart household appliance scheduling
W Lei, Z You, J Zhu, P Yan, Z Zhou, J Chen - Swarm and Evolutionary …, 2025 - Elsevier
With the rapid development of information and communication technology, a home energy
management system (HEMS) on the demand side, embedded with advanced scheduling …
management system (HEMS) on the demand side, embedded with advanced scheduling …
A proactive scheduling approach to steel rolling process with stochastic machine breakdown
We address a proactive scheduling problem with stochastic machine breakdown,
controllable processing time and deterioration effect considerations arising from steel …
controllable processing time and deterioration effect considerations arising from steel …
A two-stage assignment strategy for the robust scheduling of dual-resource constrained stochastic job shop scheduling problems
This paper addresses the job shop scheduling problems with stochastic processing times
(SJSSP) under machine-worker dual-resource constraints. Considering the difference in …
(SJSSP) under machine-worker dual-resource constraints. Considering the difference in …
[PDF][PDF] 双资源约束的鲁棒 Job Shop 调度问题研究
肖世昌, 吴自高, 孙树栋, 金梅 - 机械工程学报, 2021 - researchgate.net
针对机器-工人双资源约束下加工时间具有随机性的Job shop 调度问题(Job shop scheduling
problems, JSSP), 考虑工人熟练程度差异和工人数量不足的约束, 采用鲁棒调度的方法建立机器 …
problems, JSSP), 考虑工人熟练程度差异和工人数量不足的约束, 采用鲁棒调度的方法建立机器 …
Mes-алгоритм и архитектура
СР Исмаилов, АВ Морозов - Вопросы науки и образования, 2018 - cyberleninka.ru
В данной статье рассмотрен подход к реализации алгоритма для составления
производственного расписания. Представлена модель генетического алгоритма …
производственного расписания. Представлена модель генетического алгоритма …
Molecular interactions of the Omicron, Kappa, and Delta SARS-CoV-2 spike proteins with quantum dots of graphene oxide
T da Silva Arouche, JCM Lobato… - Journal of Molecular …, 2024 - Springer
Abstract Context The Omicron, Kappa, and Delta variants are different strains of the SARS-
CoV-2 virus. Graphene oxide quantum dots (GOQDs) represent a burgeoning class of …
CoV-2 virus. Graphene oxide quantum dots (GOQDs) represent a burgeoning class of …
Scheduling job shop problems with operators with respect to the maximum lateness
I Benkalai, D Rebaine, P Baptiste - RAIRO-Operations Research, 2020 - rairo-ro.org
This paper deals with the problem of assigning operators to jobs, within a free assignment-
changing mode, in a job-shop environment subject to a fixed processing sequence of the …
changing mode, in a job-shop environment subject to a fixed processing sequence of the …