Opposition-based particle swarm optimization with adaptive mutation strategy
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-016-2102-5
Abstract: To solve the problem of premature convergence in traditional particle swarm optimization (PSO), an opposition-based particle swarm optimization with adaptive mutation strategy (AMOPSO) is proposed in this paper. In all the variants of PSO, the… read more here.
Keywords: opposition; opposition based; swarm optimization; particle swarm ... See more keywords
Adaptive infinite impulse response system identification using opposition based hybrid coral reefs optimization algorithm
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DOI: 10.1007/s10489-017-1034-9
Abstract: An efficient global adaptive algorithm is required to determine the parameters of infinite impulse response (IIR) filter owing to the error cost surface of adaptive IIR system identification problem being generally nonlinear and non-differentiable. In… read more here.
Keywords: system; opposition based; system identification; optimization ... See more keywords
Opposition-based krill herd algorithm applied to economic load dispatch problem
Sign Up to like & getrecommendations! Published in 2018 at "Ain Shams Engineering Journal"
DOI: 10.1016/j.asej.2016.02.003
Abstract: Abstract Economic load dispatch (ELD) is the process of allocating the committed units such that the constraints imposed are satisfied and the production cost is minimized. This paper presents a novel and heuristic algorithm for… read more here.
Keywords: krill; opposition based; load dispatch; krill herd ... See more keywords
Opposition-based artificial electric field algorithm and its application to FOPID controller design for unstable magnetic ball suspension system
Sign Up to like & getrecommendations! Published in 2020 at "Engineering Science and Technology, an International Journal"
DOI: 10.1016/j.jestch.2020.08.001
Abstract: Abstract In this study, an improved version of artificial electric field (AEF) algorithm, named as opposition-based AEF (ObAEF), has been proposed for the first time ever to tune a fractional order PID (FOPID) controller used… read more here.
Keywords: algorithm; opposition based; fopid controller; aef ... See more keywords
An Opposition-Based Chaotic Salp Swarm Algorithm for Global Optimization
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DOI: 10.1109/access.2020.2976101
Abstract: The salp swarm algorithm (SSA) is a bio-heuristic optimization algorithm proposed in 2017. It has been proved that SSA has competitive results compared to several other well-known meta-heuristic algorithms on various optimization problem. However, like… read more here.
Keywords: optimization; salp swarm; swarm algorithm; opposition based ... See more keywords
A Novel Hybrid Classification Method Based on the Opposition-Based Seagull Optimization Algorithm
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DOI: 10.1109/access.2020.2997791
Abstract: In practice, classification problems have appeared in many scientific fields, including finance, medicine and industry. It is critically important to develop an effective and accurate classification model. Although numerous useful classifiers have been proposed, they… read more here.
Keywords: method; opposition based; algorithm; classification ... See more keywords
A Modified Equilibrium Optimizer Using Opposition-Based Learning and Teaching-Learning Strategy
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DOI: 10.1109/access.2022.3208089
Abstract: Equilibrium Optimizer (EO) is a newly developed intelligent optimization algorithm inspired by control volume mass balance models. EO has been proven to have an excellent solution effect on some optimization problems, with the advantages of… read more here.
Keywords: modified equilibrium; opposition based; teaching learning; optimizer ... See more keywords
PCOBL: A Novel Opposition-Based Learning Strategy to Improve Metaheuristics Exploration and Exploitation for Solving Global Optimization Problems
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DOI: 10.1109/access.2023.3273298
Abstract: Meta-heuristics are commonly applied to solve various global optimization problems. In order to make the meta-heuristics performing a global search, balancing their exploration and exploration ability is still an open avenue. This manuscript proposes a… read more here.
Keywords: opposition based; based learning; meta; exploration ... See more keywords
Secret Image Restoration With Convex Hull and Elite Opposition-Based Learning Strategy
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DOI: 10.1109/lsp.2023.3252403
Abstract: Digital images are easily corrupted during transmission. Most image denoising methods cannot perform well on restoring the secret image extracted from a corrupted stego image. To deal with this issue, we propose a new secret… read more here.
Keywords: opposition based; convex hull; elite opposition; based learning ... See more keywords
Elite Opposition-Based Water Wave Optimization Algorithm for Global Optimization
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DOI: 10.1155/2017/3498363
Abstract: Water wave optimization (WWO) is a novel metaheuristic method that is based on shallow water wave theory, which has simple structure, easy realization, and good performance even with a small population. To improve the convergence… read more here.
Keywords: elite opposition; opposition based; optimization; wave optimization ... See more keywords
Improved opposition-based self-adaptive differential evolution algorithm for vibrational hybrid femtosecond/picosecond coherent anti-Stokes Raman scattering thermometry.
Sign Up to like & getrecommendations! Published in 2022 at "Applied optics"
DOI: 10.1364/ao.452485
Abstract: We propose an improved opposition-based self-adaptive differential evolution (IOSaDE) algorithm for multi-parameter optimization in vibrational hybrid femtosecond/picosecond coherent anti-Stokes Raman scattering (CARS) thermometry. This new algorithm self-adaptively combines the advantages of three mutation schemes and… read more here.
Keywords: opposition based; improved opposition; self adaptive; differential evolution ... See more keywords