Results 31 to 40 of about 1,188,978 (260)
A new index‐based hyper‐heuristic algorithm for global optimisation problems
IET Software, 2022 In this research study, a new combination search algorithm, based on indexing its constituent processes, is proposed to solve global optimisation problems.
Mohammad Reza Hasanzadeh +2 more
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Accurate Solar Cell Modeling via Genetic Neural Network-Based Meta-Heuristic Algorithms
Frontiers in Energy Research, 2021 Accurate solar cell modeling is essential for reliable performance evaluation and prediction, real-time control, and maximum power harvest of photovoltaic (PV) systems.
Long Wang +7 more
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MANFAAT METODE INQUIRY TERHADAP PENGAMATAN HASIL PRAKTIKUM LAS LISTRIK DI LABORATORIUM MANUFAKTUR POLITEKNIK META INDUSTRI CIKARANG [PDF]
, 2022 The purpose of this study was to determine student achievement in the manufacturing process subject before giving treatment, to determine student achievement in the manufacturing process course after treatment, to determine whether there was an effect of
Rivandi, Merdieco, Widodo, Agus
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Portfolio optimization with mean-variance approach using hunting search meta-heuristic algorithm [PDF]
تحقیقات مالی, 2014 This paper presents a new meta-heuristic solution to find the efficient frontier using the mean-variance approach. Portfolio optimization problem is a quadratic programming model and, changes to NP-hard if the number of assets and constraints has ...
Morteza Elahi +2 more
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Ain Shams Engineering Journal, 2020 The growth of demand, the need for economic efficiency and optimal utilisation of electric power networks and the high cost of construction of new power networks result in inevitable challenges, such as overloading and excessive power transfer along ...
Ahmad AL Ahmad, Reza Sirjani
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Comparison of eFPA with meta-heuristic-based strategies.
, 2018 Comparison of eFPA with meta-heuristic-based strategies.
Kamal Z. Zamli (3340377) +3 more
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Nonparametric Comparison of Two Dynamic Parameter Setting Methods in a Meta-Heuristic Approach [PDF]
Journal of Systemics, Cybernetics and Informatics, 2007 Meta-heuristics are commonly used to solve combinatorial problems in practice. Many approaches provide very good quality solutions in a short amount of computational time; however most meta-heuristics use parameters to tune the performance of the meta ...
Seyhun HEPDOGAN +3 more
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IET Software, 2021 In this research, a new method for population initialisation in meta‐heuristic algorithms based on the Pareto 80/20 rule is presented. The population in a meta‐heuristic algorithm has two important tasks, including pushing the algorithm toward the real ...
Mohammad Reza Hasanzadeh, Farshid Keynia
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Algorithms, 2021 This paper describes a unique meta-heuristic technique for hybridizing bio-inspired heuristic algorithms. The technique is based on altering the state of agents using a logistic probability function that is dependent on an agent’s fitness rank.
Robertas Damaševičius +1 more
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JURNAL HEURISTIC VOLUME 17 NO 2 OKTOBER 2020
, 2021 JURNAL HEURISTIC Volume 17 Nomor 2 OKTOBER ...
Heuristic
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