Results 21 to 30 of about 156,806 (296)
Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data
Computers, 2022 Feature Selection in High Dimensional Space is a combinatory optimization problem with an NP-hard nature. Meta-heuristic searching with embedding information theory-based criteria in the fitness function for selecting the relevant features is used widely
Tara Othman Qadir Saraf +2 more
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Review of Quantum-inspired Metaheuristic Algorithms and Its Applications [PDF]
Jisuanji kexueThe quantum meta heuristic algorithm is developed by applying quantum computing to the meta-heuristic algorithm.This kind of algorithm is good at solving combinatorial and numerical optimization problems,and has the characteristics of acce-lerated ...
RUAN Ning, LI Chun, MA Haoyue, JIA Yi, LI Tao
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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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Efficiency of Meta Heuristic Optimization Algorithms
International Journal of Advanced Research in Science, Communication and Technology, 2022 A meta-heuristic is a lot of algorithmic ideas that can be utilized to characterize heuristic strategies material to a wide arrangement of various issues. – A Meta heuristic can be viewed as a general broadly useful heuristic technique toward promising locales of the search space containing top notch arrangements.
null Divvela Srinivasa Rao +1 more
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Analyzing Meta-Heuristic Algorithms for Task Scheduling in a Fog-Based IoT Application
Algorithms, 2022 In recent years, the increasing use of the Internet of Things (IoT) has generated excessive amounts of data. It is difficult to manage and control the volume of data used in cloud computing, and since cloud computing has problems with latency, lack of ...
Dadmehr Rahbari
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Evaluating the performance of meta-heuristic algorithms on CEC 2021 benchmark problems
Neural computing & applications (Print), 2022 To develop new meta-heuristic algorithms and evaluate on the benchmark functions is the most challenging task. In this paper, performance of the various developed meta-heuristic algorithms are evaluated on the recently developed CEC 2021 benchmark ...
A. W. Mohamed +4 more
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Calico Salmon Migration Algorithm: A Novel Meta-Heuristic Optimization Algorithm
2023 International Conference on New Trends in Computational Intelligence (NTCI), 2023 A novel population-based optimization method is proposed in this paper, the Calico Salmon Migration Algorithm (CSMA), which is inspired by the natural behavior of calico salmon during their migration for mating. The CSMA optimization process comprises four stages: selecting the search space by swimming into the river, expanding the search space from ...
Min, Chao +4 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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