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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
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Metaheuristic Algorithms for Optimization: A Brief Review
Engineering ProceedingsIn the area of optimization, metaheuristic algorithms have attracted a lot of interest. For many centuries, human beings have utilized metaheuristic algorithms as a problem-solving approach.
Vinita Tomar, Mamta Bansal, Pooja Singh
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THE DAWN OF METAHEURISTIC ALGORITHMS
International Journal of Software Engineering and Computer Systems, 2018 Optimization has become such a favored area of research in recent times necessitating the need for technical papers and tutorials that will properly analyze and explain the basics of the field. At the heart of efficiency and effectiveness of optimization of engineering, business and industrial processes is metaheuristics, hence the need for proper ...
Muzaffar Shah Bin Mansor
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Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems [PDF]
Heliyon, 2022 Joseph Stephen Bassi +2 more
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Performance Comparison of Recent Population-based Metaheuristic Optimisation Algorithms in Mechanical Design Problems of Machinery Components [PDF]
, 2021 The optimisation of complex engineering design problems is highly challenging due to the consideration of various design variables. To obtain acceptable near-optimal solutions within reasonable computation time, metaheuristics can be employed for such ...
Kaniappan Chinnathai, M. +2 more
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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
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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
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Space truss structures’ optimization using metaheuristic optimization algorithms
, 2023 Metaheuristic optimization algorithms are popular tools for solving engineering optimization problems. In this chapter, space truss structures are optimized using three population-based metaheuristic algorithms: African Vulture Optimization Algorithm ...
Mirjalili, S +3 more
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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
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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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