Results 11 to 20 of about 5,291 (162)
Metaheuristics for pharmacometrics [PDF]
CPT: Pharmacometrics & Systems Pharmacology, 2021 Metaheuristics 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 ...
Seongho Kim +4 more
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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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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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A hyper-matheuristic approach for solving mixed integer linear optimization models in the context of data envelopment analysis [PDF]
PeerJ Computer Science, 2022 Mixed Integer Linear Programs (MILPs) are usually NP-hard mathematical programming problems, which present difficulties to obtain optimal solutions in a reasonable time for large scale models.
Martin Gonzalez +3 more
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CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search
SoftwareX, 2020 There is a colourful palette of metaheuristics for solving continuous optimisation problems in the literature. Unfortunately, it is not easy to pick a suitable one for a specific practical scenario. Moreover, oftentimes the selected metaheuristic must be
Jorge M. Cruz-Duarte +4 more
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Complexity, 2023 Swarm intelligence algorithms are metaheuristics inspired by the collective behavior of species such as birds, fish, bees, and ants. They are used in many optimization problems due to their simplicity, flexibility, and scalability.
Alam Zeb +4 more
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Hybrid Metaheuristics to the Automatic Selection of Features and Members of Classifier Ensembles
Information, 2018 Metaheuristic algorithms have been applied to a wide range of global optimization problems. Basically, these techniques can be applied to problems in which a good solution must be found, providing imperfect or incomplete knowledge about the optimal ...
Antonino A. Feitosa Neto +2 more
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On deciding when to stop metaheuristics: Properties, rules and termination conditions
Operations Research Perspectives, 2023 Most metaheuristics lack a termination condition based on reasonable premises and guaranteeing the quality of the solution provided by the algorithm. We propose a methodological frame that distinguishes the concepts of properties of the final incumbent ...
Albert Corominas
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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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Hybrid Metaheuristics for Multi-Objective Optimization
Journal of Algorithms & Computational Technology, 2015 Over the last two decades, interest on hybrid metaheuristics has risen considerably in the field of multi-objective optimization (MOP). The best results found for many real-life or academic multi-objective optimization problems are obtained by hybrid ...
E-G. Talbi
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