Results 11 to 20 of about 52,555 (294)
Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems [PDF]
Heliyon, 2022 Joseph Stephen Bassi +2 more
exaly +2 more sources
An Overview of the Concepts, Classifications, and Methods of Population Initialization in Metaheuristic Algorithms [PDF]
Journal of Advances in Computer Engineering and Technology, 2021 Metaheuristic algorithms are typically population-based random search techniques. The general framework of a metaheuristic algorithm consisting of its main parts.
Mohammad Hassanzadeh, farshid keynia
doaj
IEEE Access, 2022 Feature selection (FS) constitutes a series of processes used to decide which relevant features/attributes to include and which irrelevant features to exclude for predictive modeling.
Osamah Mohammed Alyasiri +3 more
doaj +1 more source
Online metaheuristic algorithm selection
Expert Systems with Applications, 2022 The performance of optimization algorithms significantly depends on the landscape of the problems. It is known that there is no single algorithm that outperforms others on problems with different fitness landscapes. One of the issues in metaheuristic algorithms is keeping the balance between exploration and exploitation.
Kazem Meidani +2 more
openaire +2 more sources
Permutation Tests for Metaheuristic Algorithms
Mathematics, 2022 Many metaheuristic approaches are inherently stochastic. In order to compare such methods, statistical tests are needed. However, choosing an appropriate test is not trivial, given that each test has some assumptions about the distribution of the ...
Mahamed G. H. Omran +4 more
doaj +1 more source
KPLS Optimization With Nature-Inspired Metaheuristic Algorithms
IEEE Access, 2020 Kernel partial least squares regression (KPLS) is a technique used in several scientific areas because of its high predictive ability. This article proposes a methodology to simultaneously estimate both the parameters of the kernel function and the ...
Jorge Daniel Mello-Roman +1 more
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Energies, 2020 In the power and energy systems area, a progressive increase of literature contributions that contain applications of metaheuristic algorithms is occurring.
Gianfranco Chicco, Andrea Mazza
doaj +1 more source
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
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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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Firefly Algorithms for Multimodal Optimization [PDF]
, 2009 Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper intends to provide a detailed description of a new Firefly Algorithm (FA) for multimodal optimization applications.
Yang, Xin-She
core +1 more source