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The classic differential evolution algorithm and its convergence properties [PDF]
, 2017 summary:Differential evolution algorithms represent an up to date and efficient way of solving complicated optimization tasks. In this article we concentrate on the ability of the differential evolution algorithms to attain the global minimum of the cost
Knobloch, Roman +2 more
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Optimization of Parameters in Linear Active Disturbance Rejection Control via Differential Evolution Algorithm [PDF]
Hangkong bingqi, 2021 Two parameters of ω0 and ωc in the active disturbance rejection controller are automatically optimized via the differential evolution algorithm in this paper.
Zhou Tao
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The Performance of German Firms in the Business-Related Service Sectors Revisited: Differential Evolution Markov Chain Estimation of the Multinomial Probit Model [PDF]
, 2011 Differential evolution, GHK, MCMC, MNP, Service sector, C13, C15, C25, L25,
W. Erno Kuiper +5 more
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An Improved Self-Adaptive Differential Evolution Algorithm for Solving Dynamic Optimization Problem [PDF]
Jisuanji gongcheng, 2021 To address the weak local search ability and low optimization accuracy of the original dynamic Self-Adaptive Differential Evolution(SADE) algorithm,this paper proposes a Neighborhood Search Differential Evolution(NSDE) algorithm for solving Dynamic ...
LIU Shuqiang, QIN Jin
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Journal of Applied Mathematics, 2013 In view of the traditional numerical method to solve the nonlinear equations exist is sensitive to initial value and the higher accuracy of defects. This paper presents an invasive weed optimization (IWO) algorithm which has population diversity with the
Yongquan Zhou, Qifang Luo, Huan Chen
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A simple adaptive Differential Evolution algorithm [PDF]
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 2009 Differential Evolution (DE) is a simple and efficient scheme for global optimization over continuous spaces. DE is generally considered as a reliable, accurate, robust and fast optimization techniques. It outperforms many other optimization algorithms in terms of convergence speed and robustness over common benchmark problems and real world ...
Radha Thangaraj +2 more
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Differential evolution-based transfer rough clustering algorithm
Complex & Intelligent Systems, 2023 Due to well processing the uncertainty in data, rough clustering methods have been successfully applied in many fields. However, when the capacity of the available data is limited or the data are disturbed by noise, the rough clustering algorithms always
Feng Zhao, Chaofei Wang, Hanqiang Liu
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An inflationary differential evolution algorithm for space trajectory optimization
, 2011 In this paper we define a discrete dynamical system that governs the evolution of a population of agents. From the dynamical system, a variant of Differential Evolution is derived.
Vasile, M. +10 more
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, 2022 In order to efficiently solve the binary optimization problems by using differential evolution (DE), a class of new transfer functions, Taper-shaped transfer function, is firstly proposed by using power functions.
Mirjalili, S +7 more
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Optimal Foraging Algorithm Based on Differential Evolution
IEEE Access, 2020 The optimal foraging algorithm (OFA) was proposed by summarizing the rules of the animal foraging behavior in a group. Therefore OFA also has the defects of the swarm intelligence algorithm, such as easy to trap into local optimum and low convergence ...
Yanming Fu +3 more
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