Results 51 to 60 of about 97,422 (235)
ACO for continuous function optimization: a performance analysis [PDF]
, 2014 The performance of the meta-heuristic algorithms often depends on their parameter settings. Appropriate tuning of the underlying parameters can drastically improve the performance of a meta-heuristic. The Ant Colony Optimization (ACO), a population based
Abraham, Ajith +2 more
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A Hybrid Algorithm for Short-Term Wind Power Prediction
Energies, 2022 Accurate and effective wind power prediction plays an important role in wind power generation, distribution, and management. Inthis paper, a hybrid algorithm based on gradient descent and meta-heuristic optimization is designed to improve the accuracy of
Zhenhua Xiong +4 more
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Time series predictive analysis based on hybridization of meta-heuristic algorithms [PDF]
, 2018 This paper presents a comparative study which involved five hybrid meta-heuristic methods to predict the weather five days in advance. The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial ...
Ernawan, Ferda +4 more
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Enhancing grasshopper optimization algorithm (GOA) with levy flight for engineering applications
Scientific Reports, 2023 The grasshopper optimization algorithm (GOA) is a meta-heuristic algorithm proposed in 2017 mimics the biological behavior of grasshopper swarms seeking food sources in nature for solving optimization problems. Nonetheless, some shortcomings exist in the
Lei Wu, Jiawei Wu, Tengbin Wang
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A Survey on Load Balancing Algorithms for VM Placement in Cloud Computing [PDF]
, 2017 The emergence of cloud computing based on virtualization technologies brings huge opportunities to host virtual resource at low cost without the need of owning any infrastructure.
Buyya, Rajkumar +2 more
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Adaptive non-uniform mutation based on statistics for genetic algorithms [PDF]
, 2002 Copyright @ 2002 ACMAs a meta-heuristic search algorithm based on mechanisms abstracted from population genetics, the genetic algorithm (GA) implicitly maintains the statistics about the search space through the population.
Yang, S
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A meta-heuristic method to design off-grid community electrification projects with renewable energies [PDF]
, 2015 The design of off-grid electrification projects considering hybrid systems and distribution microgrids is a complex task that requires the use of decision support tools.
Ferrer Martí, Laia +3 more
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Applied SciencesMeta-heuristic algorithms are computational methods inspired by evolutionary processes, animal or plant behaviors, physical events, and other natural phenomena.
Mashar Cenk Gençal
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Advances in Civil EngineeringOptimization challenges effectively mirror numerous complex real-world problems. These are typically addressed using two methodologies: approximate methods and exact methods. Within the approximate category, meta-heuristic methods are prominent.
Saeedeh Ghaemifard, Amin Ghannadiasl
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On applications of ant colony optimisation techniques in solving assembly line balancing problems [PDF]
, 2016 PublishedArticleRecently, there is an increasing interest in applications of meta-heuristic approaches in solving various engineering problems. Meta-heuristics help both academics and practitioners to get not only feasible but also near optimal ...
Kucukkoc, I, Zhang, DZ
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