Differential evolution (DE), as an extremely powerful evolutionary algorithm, has recently been widely employed within complex reality optimisation problems. However, the DE algorithm mainly focuses on strengthening the adaptability of exploitation, which allows the sensitivity of the DE algorithm to be ...
www.nature.com/scientificreports OPEN Differential evolution algorithm based photonic structure design: numerical and experimental received: 14 April 2016 verification of subwavelength λ/5accepted:08July2016 focusing of lightPublished:01August2016 E. Bor1,2, M. Turduev2 & H. Kurt1 Photonic ...
controller based on the BP neural network tuning PID algorithm, which greatly improved the position control performance of pneumatic artificial muscle. Estrada et al. proposed a sample-based second-order sliding mode switched to gain an output feedback controller. The controller used the gain adjustme...
In this study, the operating conditions of an industrial fixed-bed ethylene oxide reactor are optimized via differential evolution (DE) algorithm to boost the ethylene oxide yield with taking into account the catalyst deactivation. A mathematical heterogenous model of the reactor has been used in ord...
To address this problem, we propose the Differential Evolution Ensemble Method (DEEM), which comprises four key components, the Ensemble Heuristic Process (EHP), Differential Evolution (DE), Knowledge Transfer Strategy, and Scheduling Module. The EHP defines the task priority in each heuristic, where...
In this article, a memetic discrete differential evolution (MDDE) algorithm is proposed to address the distributed permutation flow shop scheduling problem (DPFSP) with the minimization of the makespan. An enhanced NEH (Nawaz–Enscore–Ham) method is presented to produce potential candidate solutions...
Figure 16 shows the positioning error diagram under the three control strategies. It can be seen from the figure that the maximum steady-state error of the friction compensation control strategy based on the differential evolution algorithm is 0.015 mm, the maximum steady-state error of the PD ...
Secondly, a self-adaptive multiobjective differential evolution (AMODE) algorithm is put forward. Since the parameter value can affect the performance of the algorithm greatly, an adaptive parameter control method is proposed according to the convergence index of the individual and the evolution degree...
Section “Whale Optimization Algorithm” provides an overview of the basic WOA. Section “Whale Optimization Algorithm based on atom-like structure differential evolution” presents the content of the WOAAD algorithm. Section “Time complexity analysis of WOAAD” analyzes the time complexity of the WOA...
Cloud computing Differential Evolution (DE) Neural Network Optimization Virtual machine Genetic algorithm 1. Introduction In this huge world where all the services do not run on IT infrastructure and IT services. In COVID-19 pandemic scenario mostly all of the business and services ranging from basi...