Results 21 to 30 of about 1,727,456 (275)
Buildings, 2022 This study proposes a generally applicable improvement strategy for metaheuristic algorithms, improving the algorithm’s accuracy and local convergence in finite element (FE) model updating.
Shiqiang Qin +3 more
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A novel metaheuristic optimization algorithm: the monarchy metaheuristic
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2019 In this paper, we introduce a novel metaheuristic optimization algorithm named the monarchy metaheuristic (MN). Our proposed metaheuristic was inspired by the monarchy government system. Unlike many other metaheuristics, it is easy to implement and does not need a lot of parameters. This makes it applicable to a wide range of optimization problems.
Ibtissam Ahmia, Méziane Aïder
openaire +2 more sources
Flood algorithm: a novel metaheuristic algorithm for optimization problems [PDF]
PeerJ Computer ScienceMetaheuristic algorithms are an important area of research that provides significant advances in solving complex optimization problems within acceptable time periods.
Ramazan Ozkan, Ruya Samli
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A Multiple-Search Multi-Start Framework for Metaheuristics for Clustering Problems
IEEE Access, 2020 Metaheuristic algorithms have been widely used as an effective and efficient way for solving various complex optimization problems; there is, however, plenty of room for improvement.
Kai-Cheng Hu +2 more
doaj +1 more source
MetaCluster: An open-source Python library for metaheuristic-based clustering problems
SoftwareX, 2023 Clustering, based on metaheuristic algorithms, is a rapidly developing field. Its goal is to use these methods to reframe clustering issues as optimization problems. In this study, we propose an open-source library named MetaCluster.
Nguyen Van Thieu +2 more
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An Investigation into the Merger of Stochastic Diffusion Search and Particle Swarm Optimisation [PDF]
, 2011 This study reports early research aimed at applying the powerful resource allocation mechanism deployed in Stochastic Diffusion Search (SDS) to the Particle Swarm Optimiser (PSO) metaheuristic, effectively merging the two swarm intelligence algorithms ...
Blackwell, Tim +6 more
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Measurement specificity of RVFL+ JS against other metaheuristic algorithms.
, 2021 Measurement specificity of RVFL+ JS against other metaheuristic algorithms.
Sherif I. Barakat (11731509) +2 more
core +1 more source
Execution time of RVFL+ JS against other metaheuristic algorithms.
, 2021 Execution time of RVFL+ JS against other metaheuristic algorithms.
Sherif I. Barakat (11731509) +2 more
core +1 more source
Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 2023 Many optimization problems are complex, challenging and take a significant amount of computational effort to solve. These problems have gained the attention of researchers and they have developed lots of metaheuristic algorithms to use for solving these ...
Aydın Sipahioğlu, İslam Altın
doaj +1 more source
Analysis of cutting stock problem metaheuristic algorithms. [PDF]
, 2007 The analysis of cutting stock problem and heuristic and metaheuristic algorithms for solving it are presented in this ...
Listopadskis, Narimantas, +1 more
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