Optimization of Parameters in Linear Active Disturbance Rejection Control via Differential Evolution Algorithm [PDF]
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
doaj +1 more source
An Improved Self-Adaptive Differential Evolution Algorithm for Solving Dynamic Optimization Problem [PDF]
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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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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Limited Evaluation Cooperative Co-evolutionary Differential Evolution for Large-scale Neuroevolution [PDF]
Many real-world control and classification tasks involve a large number of features. When artificial neural networks (ANNs) are used for modeling these tasks, the network architectures tend to be large.
Fletcher, George +4 more
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Differential Evolution with an Evolution Path: A DEEP Evolutionary Algorithm [PDF]
Utilizing cumulative correlation information already existing in an evolutionary process, this paper proposes a predictive approach to the reproduction mechanism of new individuals for differential evolution (DE) algorithms. DE uses a distributed model (DM) to generate new individuals, which is relatively explorative, whilst evolution strategy (ES ...
Li, Yuan-Long +5 more
openaire +4 more sources
Differential evolution-based transfer rough clustering algorithm
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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Using Differential Evolution for the Graph Coloring
Differential evolution was developed for reliable and versatile function optimization. It has also become interesting for other domains because of its ease to use. In this paper, we posed the question of whether differential evolution can also be used by
Brest, Janez, Fister, Iztok
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An Adaptive Quantum-inspired Differential Evolution Algorithm for 0-1 Knapsack Problem
Differential evolution (DE) is a population based evolutionary algorithm widely used for solving multidimensional global optimization problems over continuous spaces. However, the design of its operators makes it unsuitable for many real-life constrained
Hota, Ashish Ranjan, Pat, Ankit
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An adaptive differential evolution algorithm with elite gaussian mutation and bare-bones strategy
Both differential evolution algorithm (DE) and Bare-bones algorithm (BB) are simple and efficient, but their performance in dealing with complex multimodal problems still has room for improvement. DE algorithm has great advantages in global search and BB
Lingyu Wu +3 more
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Experimental Comparisons of Derivative Free Optimization Algorithms [PDF]
In this paper, the performances of the quasi-Newton BFGS algorithm, the NEWUOA derivative free optimizer, the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), the Differential Evolution (DE) algorithm and Particle Swarm Optimizers (PSO) are ...
D.N. Wilke +9 more
core +4 more sources

