Results 11 to 20 of about 66,599 (198)
Metaheuristics “In the Large” [PDF]
European Journal of Operational Research, 2022 Después de décadas de mejora sostenida, la metaheurística es una de las grandes historias de éxito de la investigación de optimización. Sin embargo, para que la investigación en metaheurística evite la fragmentación y la falta de reproducibilidad, existe una necesidad apremiante de una infraestructura científica y computacional más sólida para apoyar ...
Jerry Swan +15 more
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Metaheuristics for pharmacometrics [PDF]
CPT: Pharmacometrics & Systems Pharmacology, 2021 AbstractMetaheuristics is a powerful optimization tool that is increasingly used across disciplines to tackle general purpose optimization problems. Nature‐inspired metaheuristic algorithms is a subclass of metaheuristic algorithms and have been shown to be particularly flexible and useful in solving complicated optimization problems in computer ...
Kim, Seongho +4 more
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Structure and metaheuristics [PDF]
Proceedings of the 8th annual conference on Genetic and evolutionary computation, 2006 Metaheuristics have often been shown to be effective for difficult combinatorial optimization problems. The reason for that, however, remains unclear. A framework for a theory of metaheuristics crucially depends on a formal representative model of such algorithms.
Yossi Borenstein, Riccardo Poli
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Energies, 2022 It is necessary to study different aspects of renewable energy generation, including wind energy. Wind power is one of the most important green and renewable energy resources.
Mohammed A. A. Al-qaness +3 more
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A statistical learning based approach for parameter fine-tuning of metaheuristics [PDF]
, 2016 Metaheuristics are approximation methods used to solve combinatorial optimization problems. Their performance usually depends on a set of parameters that need to be adjusted.
Calvet Liñán, Laura +3 more
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Minimum weight design of truss structure via force method and Jaya algorithm” [PDF]
مهندسی مکانیک شریف, 2021 This research aims to minimize the weight of truss structures using force method formulation as a structural analyzer and Jaya algorithm as an optimizer tool.
A. Barzegari +2 more
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Metaheuristic Algorithms for Convolution Neural Network [PDF]
, 2016 A typical modern optimization technique is usually either heuristic or metaheuristic. This technique has managed to solve some optimization problems in the research area of science, engineering, and industry.
Arymurthy, Aniati Murni +2 more
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Multimethodology in Metaheuristics [PDF]
Journal of the Operational Research Society, 2013 As a combination of different methodologies or parts of methodologies, Multimethodology is becoming more frequent in OR practice. This paper contributes with a new proposal and a new field of application: the employment of Multimethodology in problem solving with Metaheuristics (Mh).
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An Adaptive Tunicate Swarm Algorithm for Optimization of Shallow Foundation
IEEE Access, 2022 This paper aims to introduce an adaptive metaheuristic algorithm based on tunicate swarm optimization (TSA) for effectively solving global optimization problems and the optimum design of a shallow spread foundation.
Amirbahador Arabali +4 more
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Firefly Algorithms for Multimodal Optimization [PDF]
, 2009 Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper intends to provide a detailed description of a new Firefly Algorithm (FA) for multimodal optimization applications.
Yang, Xin-She
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