Chen, N. Lu, Adaptive differential evolution algorithm with novel mutation strategies in multiple sub-populations, Comput. Oper. Res 67 (2016) 155-173.L. Cui, G. Li, Q. Lin, J. Chen, and N. Lu, "Adaptive differ
Y. Y. AO. An Adaptive Differential Evolution Algorithm to Solve Constrained Optimization Problems in Engineering Design. Engineering, 02:65-77, 2010.Youyun, A.O., Hongqin, C.H.I.: An Adaptive Differential Evolution Algorithm to Solve Constrained Optimization Problems in Engineering Design. J. ...
Differential evolutionPopulation diversityAdaptive parameter controlA DE approach based on a new measure of population diversity and a novel parameter control mechanism is proposed with the aim of introducing a good behavior of the algorithm. The ratio of the new defined population diversity of ...
A multi-strategy self-adaptive differential evolution algorithm (MSDE) with three modifications is devised. Specifically, an ensemble initialization strategy simultaneously ensures the diversity and effectiveness of the initial population; a Q-learning-based selection technique achieves a dynamic trade-off be...
At first, quadratic criterion-iterative learning control with adaptive differential evolution algorithm is used to improve the performance of iterative learning control. In addition, the strategy of eliminating error using iterative algorithm is employed to drive the solution to the optimal point. As a...
Keywords:adaptivediferentialevolution:logisticmodel:scalingfactor:crossoverfactor 1 引 言 差分进化(DE)算法【】是由Store等人。-1996年 提出的一种全局无导数智能优化算法.由J二DE算 法简单、有效,越来越受到学术界和上程界的J、 泛关 注l1.在DE算法的控制参数中,缩放凶子和交叉概率 ...
were treated as long and short series respectively. Using the adaptive differential evolution algorithm, the genetic algorithm and the traditional parameter estimation method, the sum of squared deviation of the OLS and its standard deviation at different iterations for the long series of rainfall data...
self-adaptive differential evolution algorithm自适应差分进化算法 3)adaptive evolutional algorithm自适应进化算法 1.Optical thin film automatic design based onadaptive evolutional algorithm;基于自适应进化算法的膜系自动设计 2.To solve the problem,the global-optimizedadaptive evolutional algorithmis applied to th...
Finally, an adaptive differential evolution algorithm based on simulated annealing (ADESA) is proposed to solve this game. The main operation steps of this hybrid algorithm can be divided as follows: first, the mutation and crossover operator of the differential evolution (DE) algorithm are ...
Among the contributions of this paper, we highlight: (a) a novel Adaptive Parameter with Mutant Tournament Multi-objective Differential Evolution algorithm (the APMT-MODE) able to find good solutions for the SVM/SVR parameters selection problem using simple kernels; (b) the development of a stra...