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WPO: A Whale Particle Optimization Algorithm
International Journal of Computational Intelligence Systems, 2023 Metaheuristic algorithms are novel optimization algorithms often inspired by nature. In recent years, scholars have proposed various metaheuristic algorithms, such as the genetic algorithm (GA), artificial bee colony, particle swarm optimization (PSO ...
Ko-Wei Huang +4 more
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IEEE Access, 2021 The optimal integration of electrical units, such as distributed generation units, power electronic devices, and electric vehicles, is a significant development of smart grids.
Kayode E. Adetunji +3 more
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A New Metaheuristic Bat-Inspired Algorithm
, 2010 Metaheuristic algorithms such as particle swarm optimization, firefly algorithm and harmony search are now becoming powerful methods for solving many tough optimization problems.
J. Kennedy +9 more
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Bio-inspired Optimization: metaheuristic algorithms for optimization
, 2020 In today's day and time solving real-world complex problems has become fundamentally vital and critical task. Many of these are combinatorial problems, where optimal solutions are sought rather than exact solutions. Traditional optimization methods are found to be effective for small scale problems.
Game, Pravin S, Vaze, Vinod, M, Emmanuel
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Survey of Lévy Flight-Based Metaheuristics for Optimization
Mathematics, 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
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Distribution planning in a weather-dependent scenario with stochastic travel times: a simheuristics approach [PDF]
, 2018 In real-life logistics, distribution plans might be affected by weather conditions (rain, snow, and fog), since they might have a significant effect on traveling times and, therefore, on total distribution costs.
Cavero-Lázaro, Marta +4 more
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Metaheuristic Optimization-Based Feature Selection for Imagery and Arithmetic Tasks: An fNIRS Study
Sensors, 2023 In recent decades, the brain–computer interface (BCI) has emerged as a leading area of research. The feature selection is vital to reduce the dataset’s dimensionality, increase the computing effectiveness, and enhance the BCI’s performance.
Amad Zafar +3 more
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Bat Algorithm for Multi-objective Optimisation [PDF]
, 2011 Engineering optimization is typically multiobjective and multidisciplinary with complex constraints, and the solution of such complex problems requires efficient optimization algorithms.
Yang, Xin-She
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Uluslararası Türk Eğitim Bilimleri DergisiThis paper explores the integration of metaheuristic artificial intelligence (AI) optimization algorithms into the process of curriculum evaluation, proposing a novel approach that could enhance educational outcomes.
Volkan Duran, Gülay Ekici
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IEEE AccessSustainable development has emerged as a global priority, and industries are increasingly striving to align their operations with sustainable practices.
Absalom El-Shamir Ezugwu
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