Results 21 to 30 of about 6,130,994 (293)
A DIFFERENTIAL EVOLUTION ALGORITHM DEVELOPED FOR A NURSE SCHEDULING PROBLEM
Nurse scheduling is a type of manpower allocation problem that tries to satisfy hospital managers objectives and nurses preferences as much as possible by generating fair shift schedules.
Shahnazari-Shahrezaei, P. +3 more
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To improve the effect of English translation teaching, this paper combines the differential evolution algorithm to construct and simulate the interactive English translation teaching mode and analyzes the differential enumeration attack.
Chi Che
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A simple adaptive Differential Evolution algorithm [PDF]
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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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
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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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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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Optimal Foraging Algorithm Based on Differential Evolution
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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Memetic Search in Differential Evolution Algorithm
Differential Evolution (DE) is a renowned optimization stratagem that can easily solve nonlinear and comprehensive problems. DE is a well known and uncomplicated population based probabilistic approach for comprehensive optimization. It has apparently outperformed a number of Evolutionary Algorithms and further search heuristics in the vein of Particle
Sandeep Kumar 0001 +2 more
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To address the problem of workingsteps sequencing in multi-channel turn-milling complex machining, a novel hybrid optimization algorithm titled hybrid discrete differential evolution has been proposed, which improves the algorithm to achieve better ...
Xusheng Shi, Lihong Qiao, Zuowei Zhu
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