Results 21 to 30 of about 20,360 (272)
Satellite downlink scheduling problem: A case study [PDF]
, 2015 The synthetic aperture radar (SAR) technology enables satellites to efficiently acquire high quality images of the Earth surface. This generates significant communication traffic from the satellite to the ground stations, and, thus, image downlinking ...
Abraham P. Punnen +34 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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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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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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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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Meta-heuristics and Artificial Intelligence [PDF]
, 2020 Meta-heuristics are generic search methods that are used to solve challenging combinatorial problems. We describe these methods and highlight their common features and differences by grouping them in two main kinds of approaches: Perturbative meta-heuristics that build new combinations by modifying existing combinations (such as, for example, genetic ...
Hao, Jin-Kao, Solnon, Christine
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Meta-Heuristics: An Overview [PDF]
, 1996 Meta-heuristics are the most recent development in approximate search methods for solving complex optimization problems, that arise in business, commerce, engineering, industry, and many other areas. A meta-heuristic guides a subordinate heuristic using concepts derived from artificial intelligence, biological, mathematical, natural and physical ...
Ibrahim H. Osman, James P. Kelly
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An Ant Colony based Hyper-Heuristic Approach for the Set Covering Problem
Advances in Distributed Computing and Artificial Intelligence Journal, 2015 The Set Covering Problem (SCP) is a NP-hard combinatorial optimization problem that is challenging for meta-heuristic algorithms. In the optimization literature, several approaches using meta-heuristics have been developed to tackle the SCP and the ...
Alexandre Silvestre FERREIRA +2 more
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Scheduling for Additive Manufacturing: a literature review
Gestão & Produção, 2022 : Advancements in production technologies and materials have facilitated the use of additive manufacturing (AM) (i.e., 3D printing) in the large-scale production of finished products with high level of customization, simplification of the factory floor ...
Gabriela Dall’Agnol +2 more
doaj +1 more source