Results 31 to 40 of about 20,865 (294)
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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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
doaj +1 more source
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
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The probabilistic heuristic in local (PHIL) search meta-strategy [PDF]
, 2005 Local search, in either best or first admissible form, generally suffers from poor solution qualities as search cannot be continued beyond locally optimal points. Even multiple start local search strategies can suffer this problem.
A. Ernst +10 more
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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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Solving the Mask Data Preparation Scheduling Problem Using Meta-Heuristics
IEEE Access, 2019 Mask data preparation (MDP) is a part of the mask data process for fabricating semiconductors, and its importance has commonly been neglected. This paper proposes an integer linear programming model and two meta-heuristics, a genetic algorithm (GA) and ...
Kuo-Ching Ying +4 more
doaj +1 more source
Hybrid meta-heuristics for combinatorial optimization [PDF]
Constraints, 2015 Combinatorial optimization problems arise, in many forms, in various aspects of everyday life. Nowadays, a lot of services are driven by optimization algorithms, enabling us to make the best use of the available resources while guaranteeing a level of service. Examples of such services are public transportation, goods delivery, university time-tabling,
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On the prediction of pseudo relative permeability curves: meta-heuristics versus Quasi-Monte Carlo
Oil & Gas Science and Technology, 2019 This article reports the first application of the Quasi-Monte Carlo (QMC) method for estimation of the pseudo relative permeability curves. In this regards, the performance of several meta-heuristics algorithms have also been compared versus QMC ...
Fazelabdolabadi Babak +3 more
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A New Approach for Solving the Disruption in Vehicle Routing Problem during Delivery
Современные информационные технологии и IT-образование, 2020 The purpose of this paper is to describe a new approach for solving the disruption in vehicle routing problem (DVRP) which deals with the disruptions that occur abruptly when executing the original plan.
Julia Sidorova, Sai Chandana Kaja
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Applying Learning and Self-Adaptation to Dynamic Scheduling
Applied Sciences, 2023 Real-world production scheduling scenarios are often not discrete, separable, iterative tasks but rather dynamic processes where both external (e.g., new orders, delivery shortages) and internal (e.g., machine breakdown, timing uncertainties, human ...
Bernhard Werth +4 more
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