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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PHH: Policy-Based Hyper-Heuristic With Reinforcement Learning
IEEE Access, 2023 Hyper-heuristics have a high level of generality and adaptability, allowing them to effectively solve a wide range of complex optimization problems.
Orachun Udomkasemsub +2 more
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IEEE Access special section editorial: Artificial intelligence enabled networking [PDF]
, 2015 With today’s computer networks becoming increasingly dynamic, heterogeneous, and complex, there is great interest in deploying artificial intelligence (AI) based techniques for optimization and management of computer networks.
Imran, Muhammad Ali +4 more
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Problem Solving in Crowd Management Using Heuristic Approach
IEEE Access, 2022 There are many problems that procedural algorithms can solve efficiently. However, these algorithms are sometimes too slow to abide by the time available for performing the solution; other times, it is impossible to get a solution using procedural ...
Ali M. Al-Shaery +4 more
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Two-Stage Multi-Objective Meta-Heuristics for Environmental and Cost-Optimal Energy Refurbishment at District Level [PDF]
, 2019 Energy efficiency and environmental performance optimization at the district level are following an upward trend mostly triggered by minimizing the Global Warming Potential (GWP) to 20% by 2020 and 40% by 2030 settled by the European Union (EU) compared ...
Landa-Torres, Itziar +3 more
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Scheduling Mandatory-Optional Real-Time Tasks in Homogeneous Multi-Core Systems with Energy Constraints Using Bio-Inspired Meta-Heuristics [PDF]
Journal of Universal Computer Science, 2019 In this paper we present meta-heuristics to solve the energy aware reward based scheduling of real-time tasks with mandatory and optional parts in homogeneous multi-core processors. The problem is NP-Hard.
Matias Micheletto +2 more
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Proceedings of the Conference on Production Systems and Logistics, 2023 Reconfigurable manufacturing systems (RMS) are capable of adjusting their operating point to the requirements of current customer demand with high degrees of freedom.
Behrendt, Sebastian +6 more
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