Results 21 to 30 of about 88,565 (289)
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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Dynamic Group-Based Cooperative Optimization Algorithm
IEEE Access, 2020 Several optimization problems from various types of applications have been efficiently resolved using available meta-heuristic algorithms such as Particle Swarm Optimization and Genetic Algorithm.
Mohamad M. Fouad +3 more
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Entropy, 2023 Meta-heuristic algorithms are widely used in complex problems that cannot be solved by traditional computing methods due to their powerful optimization capabilities. However, for high-complexity problems, the fitness function evaluation may take hours or
Jeng-Shyang Pan +4 more
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A Meta-Heuristic-Based Approach for Qos-Aware Service Composition
IEEE Access, 2020 Recently, with the rapid increase in the number of web services, QoS-aware Web Service Composition(QWSC) has become a popular topic in both industry and academia. Meta-heuristic algorithm, as an effective way to solve classical optimization problems, has
Chenyang Li, Jun Li, Huiling Chen
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Meta-heuristic Algorithms for Nesting Problem of Rectangular Pieces [PDF]
, 2017 Nesting problems consist of placing multiple items onto larger shapes finding a good arrangement. The goal of the nesting process is to minimize the waste of material.
Lo Valvo, E.
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Nature-inspired optimization algorithms in knapsack problem: A review [PDF]
المجلة العراقية للعلوم الاحصائية, 2019 Meta-heuristic algorithms have become an arising field of research in recent years. Some of these algorithms have proved to be efficient in solving combinatorial optimization problems, particularly knapsack problem.
Ghalya Tawfeeq Basheer, Zakariya Algamal
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A Meta-Heuristic Load Balancer for Cloud Computing Systems [PDF]
, 2015 This paper introduces a strategy to allocate services on a cloud system without overloading the nodes and maintaining the system stability with minimum cost.
Getov, Vladimir +3 more
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Eurasian oystercatcher optimiser: New meta-heuristic algorithm [PDF]
Journal of Intelligent Systems, 2022 Abstract Modern optimisation is increasingly relying on meta-heuristic methods. This study presents a new meta-heuristic optimisation algorithm called Eurasian oystercatcher optimiser (EOO). The EOO algorithm mimics food behaviour of Eurasian oystercatcher (EO) in searching for mussels.
Ahmad Salim +3 more
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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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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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