Results 21 to 30 of about 177,718 (299)
Mathematics, 2022 The agile earth observation satellite scheduling problem (AEOSSP), as a time-dependent and arduous combinatorial optimization problem, has been intensively studied in the past decades.
Jiawei Chen +4 more
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Alexandria Engineering Journal, 2023 Meta heuristics is an optimization approach that works as an intelligent technique to solve optimization problems. Evolutionary algorithms, human-based algorithms, physics-based algorithms and swarm intelligence are categorized under meta-heuristic ...
Othman Waleed Khalid +2 more
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Benchmarking Meta-heuristic Optimization
International Journal of Advanced Networking and Applications, 2020 Solving an optimization task in any domain is a very challenging problem, especially when dealing with nonlinear problems and non-convex functions. Many meta-heuristic algorithms are very efficient when solving nonlinear functions. A meta-heuristic algorithm is a problem-independent technique that can be applied to a broad range of problems.
Mona Nasr +5 more
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Meta-heuristic optimization methods applied to renewable distributed generation planning: A review [PDF]
E3S Web of Conferences, 2021 Due to its proven efficiency and computational speed, the most recent developed meta-heuristic optimization methods are widely used to better integrate renewable distributed generation (RDG) into the electricity grid.
Tarraq Ali +3 more
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Effective heuristics and meta-heuristics for the quadratic assignment problem with tuned parameters and analytical comparisons [PDF]
, 2012 Quadratic assignment problem (QAP) is a well-known problem in the facility location and layout. It belongs to the NP-complete class. There are many heuristic and meta-heuristic methods, which are presented for QAP in the literature.
Bashiri, Mahdi, Karimi, Hossein
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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. The BP aims to design an optimal packing of information flows on different wavelengths into groups to obtain the highest available cost reduction.
Arif Gursoy +3 more
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A Meta-Heuristic-Based Approach for Qos-Aware Service Composition
IEEE Access, 2020 Recently, with the rapid increase in the number of web services, QoS-aware Web Service Composition(QWSC) has become a popular topic in both industry and academia. Meta-heuristic algorithm, as an effective way to solve classical optimization problems, has
Chenyang Li, Jun Li, Huiling Chen
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Dynamic Group-Based Cooperative Optimization Algorithm
IEEE Access, 2020 Several optimization problems from various types of applications have been efficiently resolved using available meta-heuristic algorithms such as Particle Swarm Optimization and Genetic Algorithm.
Mohamad M. Fouad +3 more
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Cost-Aware and Energy-Efficient Task Scheduling Based on Grey Wolf Optimizer [PDF]
Journal of Mahani Mathematical Research, 2023 One of the principal challenges in the cloud is the task scheduling problem. Appropriate task scheduling algorithms are needed to achieve goals such as load balancing, minimum cost, minimum energy consumption, etc.
Reyhane Ghafari, Najme Mansouri
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A parallel implementation of ant colony optimization [PDF]
, 2002 Ant Colony Optimization is a relatively new class of meta-heuristic search techniques for optimization problems. As it is a population-based technique that examines numerous solution options at each step of the algorithm, there are a variety of ...
Lewis, A., Randall, M
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