Research on an Improved Differential Evolution Algorithm based on Three Strategies for Solving Complex Function
نویسندگان
چکیده
منابع مشابه
Research on an Improved Differential Evolution Algorithm based on Three Strategies for Solving Complex Function
For the shortcomings of differential evolution algorithm(DE), such as the low convergence rate in the late evolution, easy to trap into the local optimal solution, and weak situation of the global search ability and the stability of optimization, an improved differential evolution algorithm based on multi-population and dynamic local search(MPDLSDE) is proposed in this paper. In the MPDLSDE alg...
متن کاملAn Improved Genetic Algorithm Based on Adaptive Differential Evolution
In order to solve the premature convergence and improve the optimization ability of simple genetic algorithm (SGA) in the complex function optimization, an improved differential evolution based-genetic algorithm (DGA) is proposed in this paper. On the basis of the selection and crossover operation of SGA, the adaptive differential evolution operator is used as the main optimization method to re...
متن کاملAn Enhanced Differential Evolution Algorithm Based on Multiple Mutation Strategies
Differential evolution algorithm is a simple yet efficient metaheuristic for global optimization over continuous spaces. However, there is a shortcoming of premature convergence in standard DE, especially in DE/best/1/bin. In order to take advantage of direction guidance information of the best individual of DE/best/1/bin and avoid getting into local trap, based on multiple mutation strategies,...
متن کاملResearch on Improved Differential Evolution Algorithm based on Hybrid Multi-strategy and its Application
In order to improve the problem of premature convergence and computational efficiency of traditional differential evolution algorithm in solving high-dimensional problems, an improved differential evolution (HMSDE) algorithm based on combing elite synergy strategy, multi-population strategy and dynamic adaptive strategy is proposed in this paper. In the proposed HMSDE algorithm, the population ...
متن کاملImproved Differential Evolution Algorithm based on Dynamic Adaptive Strategies and Control Parameters
To solve the slow convergence speed, low precision in later period and tedious parameter setting of differential evolution when applied to complex optimization functions, an improved differential evolution algorithm (dn-DADE) based on dynamic adaptive strategy is proposed. Firstly, the elite solutions of current population are utilized in the new mutation strategy (DE/current-to-dnbest/1) to gu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Smart Home
سال: 2015
ISSN: 1975-4094,1975-4094
DOI: 10.14257/ijsh.2015.9.11.30