Results 21 to 30 of about 6,937 (265)
Khazanah Informatika, 2019 State-of-the-art dari metode yang digunakan untuk menyelesaikan permasalahan optimasi kombinatorik, yang diketahui sebagai permasalahan NP-hard, adalah meta-heuristics.
Arif Djunaidy +2 more
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IEEE Access, 2020 Nonlinear Model-based Predictive Control (NMPC) is a relevant research area having applications in the industrial sector. Traditionally, in this technique, gradient descent algorithms have been used to solve the related optimization problem.
Eduardo De Mendonca Mesquita +3 more
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A Survey of the Nurse Rostering Solution Methodologies: The State-of-the-Art and Emerging Trends
IEEE Access, 2022 This paper presents an overview of recent advances for the Nurse Rostering Problem (NRP) based on methodological papers published between 2012 to 2021.
Chong Man Ngoo +5 more
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Task management in IoT-Fog-Cloud environment employing static scheduling Techniques
ENP Engineering Science Journal, 2022 In a distributed computing system, there are limited resources, which needs to be utilized effectively. Then for improving QoS Fog computing paradigm is an effective way, with suitable allocations.
Gauvav Goel, Rajeev Tiwari
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IEEE Access, 2020 Heterogeneous green scheduling in virtual cloud is an urgent need of human sustainable developments. However, on the one hand, there is still considerable space beyond reach of the hardware energy regulation mode; on the other hand, as the core of green ...
Shaohui Li +3 more
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Integrated Simulation-Based Optimization of Operational Decisions at Container Terminals
Algorithms, 2021 At container terminals, many cargo handling processes are interconnected and occur in parallel. Within short time windows, many operational decisions need to be made and should consider both time efficiency and equipment utilization.
Marvin Kastner +3 more
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Comparing the performance of different meta-heuristics for unweighted parallel machine scheduling
South African Journal of Industrial Engineering, 2015 This article considers the due window scheduling problem to minimise the number of early and tardy jobs on identical parallel machines. This problem is known to be NP complete and thus finding an optimal solution is unlikely.
Adamu, Mumuni Osumah , Adewumi, Aderemi
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Optimal Selection of Gear Ratio for Hybrid Electric Vehicles Using Modern Meta-Heuristics Search Algorithm [PDF]
E3S Web of Conferences, 2019 Gear Train Design problem is most important design problem for machine tools manufacturers. Recent work on gear train improvement has been bound towards multi-shaft gear trains of the speed-change kind, where major focus is to maximize the range of ...
Kamboj Vikram Kumar +2 more
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Meta heuristics for the orienteering problem
Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), 2003 This paper presents two meta-heuristic techniques, ant colony optimization and tabu search, for the orienteering problem, a general version of the well-known traveling salesman problem with many relevant applications in industry. Both algorithms are compared to other heuristics in the literature.
Yun-Chia Liang +2 more
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New heuristics and meta-heuristics for the Bandpass problem
Engineering Science and Technology, an International Journal, 2017 The Bandpass problem (BP), modelled by Babayev et al., is a combinatorial optimization problem arising in optical communication networks using wavelength division multiplexing technology.
Arif Gursoy +3 more
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