Flood algorithm: a novel metaheuristic algorithm for optimization problems [PDF]
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
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Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019)
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
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AutoMH: Automatically Create Evolutionary Metaheuristic Algorithms Using Reinforcement Learning [PDF]
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
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Algorithms for Bidding Strategies in Local Energy Markets: Exhaustive Search through Parallel Computing and Metaheuristic Optimization [PDF]
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
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Optimising parent selection in plant breeding: comparing metaheuristic algorithms for genotype building [PDF]
Seema Yadav +7 more
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How metaheuristic algorithms can help in feature selection for Alzheimer’s diagnosis [PDF]
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
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Optimization of Dye and Plasticizer Concentrations in Halochromic Sensor Films for Rapid pH Response Using Bird-Inspired Metaheuristic Algorithms [PDF]
Daeuk Kim +3 more
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Performance evaluation of advanced metaheuristic algorithms for directional overcurrent relay coordination in distribution networks [PDF]
İbrahim Arslanoğlu +2 more
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Metaheuristics: A Review of Algorithms
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
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Survey of Lévy Flight-Based Metaheuristics for Optimization
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
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