Results 1 to 10 of about 52,499 (238)

Flood algorithm: a novel metaheuristic algorithm for optimization problems [PDF]

open access: goldPeerJ Computer Science
Metaheuristic algorithms are an important area of research that provides significant advances in solving complex optimization problems within acceptable time periods.
Ramazan Ozkan, Ruya Samli
doaj   +5 more sources

Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019)

open access: yesIEEE Access, 2021
Feature selection is a critical and prominent task in machine learning. To reduce the dimension of the feature set while maintaining the accuracy of the performance is the main aim of the feature selection problem.
Prachi Agrawal   +3 more
doaj   +3 more sources

AutoMH: Automatically Create Evolutionary Metaheuristic Algorithms Using Reinforcement Learning [PDF]

open access: yesEntropy, 2022
Machine learning research has been able to solve problems in multiple domains. Machine learning represents an open area of research for solving optimisation problems. The optimisation problems can be solved using a metaheuristic algorithm, which can find
Boris Almonacid
doaj   +2 more sources

Algorithms for Bidding Strategies in Local Energy Markets: Exhaustive Search through Parallel Computing and Metaheuristic Optimization [PDF]

open access: goldAlgorithms, 2021
The integration of different energy resources from traditional power systems presents new challenges for real-time implementation and operation. In the last decade, a way has been sought to optimize the operation of small microgrids (SMGs) that have a ...
Andrés Angulo   +5 more
doaj   +2 more sources

Optimising parent selection in plant breeding: comparing metaheuristic algorithms for genotype building [PDF]

open access: hybridTheor Appl Genet
Seema Yadav   +7 more
openalex   +2 more sources

How metaheuristic algorithms can help in feature selection for Alzheimer’s diagnosis [PDF]

open access: yesInternational Journal of Research in Industrial Engineering, 2023
Feature selection is the process of picking the most effective feature among a considerable number of features in the dataset. However, choosing the best subset that gives a higher performance in classification is challenging.
Farzaneh Salami   +2 more
doaj   +1 more source

Metaheuristics: A Review of Algorithms

open access: yesInternational Journal of Online and Biomedical Engineering (iJOE), 2023
In science and engineering, many optimization tasks are difficult to solve, and the core concern these days is to apply metaheuristic (MH) algorithms to solve them. Metaheuristics have gained significant attention in recent years, with nature serving as the fundamental inspiration where self-organization property led to collective intelligence emerging
Haval Tariq Sadeeq   +1 more
openaire   +1 more source

Survey of Lévy Flight-Based Metaheuristics for Optimization

open access: yesMathematics, 2022
Lévy flight is a random walk mechanism which can make large jumps at local locations with a high probability. The probability density distribution of Lévy flight was characterized by sharp peaks, asymmetry, and trailing.
Juan Li   +4 more
doaj   +1 more source

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