Results 31 to 40 of about 111,684 (303)
On the use of biased-randomized algorithms for solving non-smooth optimization problems [PDF]
, 2020 Soft constraints are quite common in real-life applications. For example, in freight transportation, the fleet size can be enlarged by outsourcing part of the distribution service and some deliveries to customers can be postponed as well; in inventory ...
Ferrer Biosca, Albert +4 more
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Gestão & Produção, 2000 Este artigo trata do problema de programação de tarefas flow shop permutacional. Diversos métodos heurísticos têm sido propostos para tal problema, sendo que um dos tipos de método consiste em melhorar soluções iniciais a partir de procedimentos de busca
Walther Rogério Buzzo +1 more
doaj +1 more source
A scheduling theory framework for GPU tasks efficient execution [PDF]
, 2018 Concurrent execution of tasks in GPUs can reduce the computation time of a workload by overlapping data transfer and execution commands.
A Allahverdi +11 more
core +2 more sources
Improved SP-MCTS-Based Scheduling for Multi-Constraint Hybrid Flow Shop
Applied Sciences, 2020 As a typical non-deterministic polynomial (NP)-hard combinatorial optimization problem, the hybrid flow shop scheduling problem (HFSSP) is known to be a very common layout in real-life manufacturing scenarios.
Jian Guo +5 more
doaj +1 more source
A Hybrid Metaheuristic Algorithm for Robust Two-stage Flexible Flow Shop scheduling with Dedicated Assembly Lines under Uncertainty [PDF]
مجله مدل سازی در مهندسی, 2017 In this paper, the problem of scheduling and sequencing of multi-objective two-stage flexible flow shop with dedicated assembly lines, which produce various products during multiple planning periods, is proposed.
Ali akbar Hasani
doaj +1 more source
AI and OR in management of operations: history and trends [PDF]
, 2007 The last decade has seen a considerable growth in the use of Artificial Intelligence (AI) for operations management with the aim of finding solutions to problems that are increasing in complexity and scale.
Kobbacy, KAH, Rasmy, MH, Vadera, S
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IEEE Access, 2019 Energy-efficient hybrid flow shop scheduling problem has attracted much attention in deterministic case; however, uncertainty is seldom considered in previous works. In this paper, energy-efficient interval hybrid flow shop scheduling problem (EIHFSP) is
Rui Zhou, Deming Lei, Xinmin Zhou
doaj +1 more source
Survival and disinfection of SARS-Cov-2 in environment and contaminated surface [PDF]
, 2020 The detection of SARS-Cov-2 in the sewage and water resources has increased the awareness among the people about the possibility survival of SARS-Cov-2 in the environment and the potential to transmit into the human through food chain or water resources.
Al-Gheethi, Adel +5 more
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Efficiency of the solution representations for the hybrid flow shop scheduling problem with makespan objective [PDF]
, 2019 In this paper we address the classical hybrid flow shop scheduling problem with makespan objective. As this problem is known to be NP-hard and a very common layout in real-life manufacturing scenarios, many studies have been proposed in the literature to
Fernández-Viagas Escudero, Víctor +2 more
core
A new adaptive neural network and heuristics hybrid approach for job-shop scheduling [PDF]
, 2001 Copyright @ 2001 Elsevier Science LtdA new adaptive neural network and heuristics hybrid approach for job-shop scheduling is presented. The neural network has the property of adapting its connection weights and biases of neural units while solving the ...
Baker +18 more
core +2 more sources