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   Articles with "opposition based" as a keyword



Opposition-based particle swarm optimization with adaptive mutation strategy

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recommendations! 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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recommendations! Published in 2017 at "Applied Intelligence"

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

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recommendations! 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

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recommendations! 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

Imperialist competition algorithm with quasi-opposition-based learning for function optimization and engineering design problems

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recommendations! Published in 2024 at "Automatika"

DOI: 10.1080/00051144.2024.2420296

Abstract: Imperialist competitive algorithm (ICA) is an efficient meta-heuristic algorithm by simulating the competitive behaviour among imperialist countries. However, it still suffers from slow convergence and deficiency in exploration. To address these issues, an improved ICA… read more here.

Keywords: quasi opposition; ica; qobl; opposition based ... See more keywords

An Opposition-Based Chaotic Salp Swarm Algorithm for Global Optimization

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recommendations! Published in 2020 at "IEEE Access"

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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recommendations! Published in 2020 at "IEEE Access"

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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recommendations! Published in 2022 at "IEEE Access"

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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recommendations! Published in 2023 at "IEEE Access"

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

Performance Evaluation of Evolved Opposition-Based Mountain Gazelle Optimizer Techniques for Optimal Sizing of a Stand-Alone Hybrid Energy System

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3474184

Abstract: Renewable energy systems provide a dependable, environment-friendly, and cost-effective alternative for producing electricity in remote regions. The growing use of meta-heuristic algorithms is attributed to their ability to provide rapid, accurate, and optimal results for… read more here.

Keywords: evolved opposition; energy; based mountain; optimizer ... See more keywords
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Secret Image Restoration With Convex Hull and Elite Opposition-Based Learning Strategy

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recommendations! Published in 2023 at "IEEE Signal Processing Letters"

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