Ghatak, "Differential evolution algorithm for optimizing the conflicting parameters in time- modulated linear array antennas," Progress In Electro- magnetics Research B, no. 51, pp. 101-118, 2013.S. K. Mandal, G. K. Mahanti, and R. Ghatak, "Differential evolution algorithm for optimizing the...
A dynamic population reduction differential evolution algorithm combining linear and nonlinear strategy piecewise functions The population size has a great impact on the performance of the Differential Evolution (DE) algorithm, but in many classic DE algorithms, the population s... K Li,X Fu,F Wang...
A .NET (Core)-based implementation of the Differential Evolution optimization heuristic with multi-objective extensions. The implementation is based on a generalized Evolutionary Algorithm framework, which is included in this repository. - simontjell/Evo
The algorithm proposed to implement the evolutive localization filter is based on the Differential Evolution (DE) method proposed by Storn and Price [24] for global optimization problems over continuous spaces, and the Evolutive Localization Filter (ELF) proposed by Moreno [20] to solve the global...
considered wit h the thrust as impulse,the patched—conic method accompanied with dif erential evolution (DE) algorithm are applied to solve the global optimization traj ectory design problem.T hen the method is utilized to solve t he prob lem of t he T h ird N at ional D esign C ...
这是一篇关于Differential Evolution (DE) 的综述, 由于对这类方法并不熟悉, 只能简单地做个记录.主要内容考虑如下问题,minf(X),minf(X),其中X=(x1,…,xD)X=(x1,…,xD).我所知的, 如梯度下降方法, 贝叶斯优化可以用来处理这类问题, 但是还有诸如 evolutionary algorithm (EA), evolutionary programming (EP...
These include genetic algorithm (GA)14, simulated annealing algorithm (SA)15, particle swarm optimization (PSO)16, ant colony optimization (ACO)17, artificial bee colony (ABC)17, differential evolution (DE)18, harmony search (HS)19, firefly algorithm (FA)20, bat algorithm (BA)21, flower ...
Hinton, G. E. et al. A fast learning algorithm for deep belief nets.Neural Comput.18, 1527–1554 (2006). Jordan, M. I. & Mitchell, T. M. Machine learning: trends, perspectives, and prospects.Science349, 255–260 (2015). Devlin, J. et al. BERT: pre-training of deep bidirectional...
In addition to well-known conventional prediction models, this study develops five deep LSTM-based models, namely conventional deep LSTM, CHOA (deep LSTM-CHOA), adaptive reinforcement-based genetic algorithm (deep LSTM-ARGA), marine predator algorithm (deep LSTM-MPA), and adaptive reinforced whale...
In this study, by the self-adaptive optimization of extreme learning algorithm using differential evolutionary algorithm (SaDE-ELM) the conduit capacity of sharp-crested weirs located on circular channels was modeled. First, according to the input parameters four SaDE-ELM models were introduced. Also...