Journal ArticleDOI
Stability analysis of particle dynamics in gravitational search optimization algorithm
TLDR
The modified algorithm based on stability analysis is compared with the standard GSA, PSO, RGA, and two methods of improved GSA in terms of average, median, and standard deviation of best-so-far solutions and results demonstrate the validity and feasibility of the proposed modified GSA.About:
This article is published in Information Sciences.The article was published on 2016-04-10. It has received 35 citations till now. The article focuses on the topics: Lyapunov stability.read more
Citations
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Journal ArticleDOI
A comprehensive survey on gravitational search algorithm
TL;DR: A comprehensive investigation of G SA is discussed and a brief review of GSA developments in solving different engineering problems to build up a global picture and to open the mind to explore possible applications are made.
Journal ArticleDOI
A stability constrained adaptive alpha for gravitational search algorithm
TL;DR: This paper proposes a new variant of GSA, namely stability constrained adaptive alpha for GSA (SCAA), which has been evaluated by comparing with the original GSA and four alpha adjusting algorithms on 13 conventional functions and 15 complex CEC2015 functions and demonstrated that SCAA has significantly better searching performance than its peers do.
Journal ArticleDOI
Stability analysis of Artificial Bee Colony optimization algorithm
TL;DR: The stability analysis of a famous Artificial Bee Colony (ABC) optimization algorithm using von Neumann stability criterion for two-level finite difference scheme is presented.
Journal ArticleDOI
An automatic nuclei segmentation method using intelligent gravitational search algorithm based superpixel clustering
Himanshu Mittal,Mukesh Saraswat +1 more
TL;DR: Experiments affirm that the proposed intelligent gravitational search algorithm based superpixel clustering method for automatic nuclei segmentation is comparatively an efficacious and accurate method for segmenting the nuclei within breast cancer histology images.
Journal ArticleDOI
An Easily Understandable Grey Wolf Optimizer and Its Application to Fuzzy Controller Tuning
Radu-Emil Precup,Radu-Codrut David,Alexandra-Iulia Szedlak-Stinean,Emil M. Petriu,Florin Dragan +4 more
TL;DR: An easily understandable Grey Wolf Optimizer applied to the optimal tuning of the parameters of Takagi-Sugeno proportional-integral fuzzy controllers (T-S PI-FCs) is proposed and discussions on stability, convergence, and parameter settings are offered.
References
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Journal ArticleDOI
GSA: A Gravitational Search Algorithm
TL;DR: A new optimization algorithm based on the law of gravity and mass interactions is introduced and the obtained results confirm the high performance of the proposed method in solving various nonlinear functions.
Journal ArticleDOI
Evolutionary programming made faster
Xin Yao,Yong Liu,Guangming Lin +2 more
TL;DR: A "fast EP" (FEP) is proposed which uses a Cauchy instead of Gaussian mutation as the primary search operator and is proposed and tested empirically, showing that IFEP performs better than or as well as the better of FEP and CEP for most benchmark problems tested.
Book
Nonlinear Systems Analysis
TL;DR: In this article, the authors consider non-linear differential equations with unique solutions, and prove the Kalman-Yacubovitch Lemma and the Frobenius Theorem.
Journal ArticleDOI
The particle swarm optimization algorithm: convergence analysis and parameter selection
TL;DR: The particle swarm optimization algorithm is analyzed using standard results from the dynamic system theory and graphical parameter selection guidelines are derived, resulting in results superior to previously published results.
Journal ArticleDOI
Nonlinear Systems Analysis
TL;DR: Non-linear Differential Equations with Unique Solutions, Proof of the Kalman-Yacubovitch Lemma and proof of the Frobenius Theorem.