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An Improved Adaptive Differential Evolution based on Hybrid Method for Function Optimization

Li Huang
2016 International Journal of Hybrid Information Technology  
In order to improve the optimum speed, crease the diversity of the population and overcome the premature convergence problem in differential evolution(DE) algorithm for solving the complex optimization  ...  The multi-population with parallel evolution is used to preserve the diversity of the population at the initial generation.  ...  Adaptive Crossover Probability ( CR ) Strategy Adaptive crossover probability strategy is used to adaptively adjust the CR value according to the fitness value of current individual in the sub-population  ... 
doi:10.14257/ijhit.2016.9.3.09 fatcat:e5pis4bq2zcxlplmwzl62ntzne

An Improved Adaptive Niche Differential Evolution Algorithm

Hui Wang, Changtong Song
2016 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
In order to enhance the search performance of the DE algorithm, this paper uses the idea of niche, decomposes the entire population into several niches according to the fitness, perform population selection  ...  Differential evolution (DE) algorithm is a random search algorithm by referring to the natural genetic and natural selection mechanism of the biological world and it is used to process the complicated  ...  Operations of Differential Evolution Algorithm Assume that the current evolution generation is t , the population size is NP , the space dimension is D , the current population is (1) Mutation DE algorithm  ... 
doi:10.12928/telkomnika.v14i3.3591 fatcat:m2omhqqwozcnhmtitizywugv6y

Research on an Improved Differential Evolution Algorithm based on Three Strategies for Solving Complex Function

Hao Jia
2015 International Journal of Smart Home  
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 order to enhance the potential diversity of the population, the crossover operation plays a key role.  ... 
doi:10.14257/ijsh.2015.9.11.30 fatcat:pzhf62i2dncgjnz5hho4qv2edm

Adaptive Differential Evolution With Evolution Memory for Multiobjective Optimization

Kun Li, Huixin Tian
2019 IEEE Access  
In this paper, a multiobjective differential evolution (MODE) algorithm is developed by incorporating the memory mechanism of particle swarm optimization.  ...  Besides the adaptive selection of multiple mutation operators that are often adopted in the MODE, an adaptive refining method is used to improve the global external archive.  ...  Since the population size of the MOSADE-W and OWMOSaDE was set to 50 according to the original paper, an external archive whose size was 100 was used to collect the non-dominated solutions.  ... 
doi:10.1109/access.2018.2885947 fatcat:4cfr3oltk5ha3jlnjnhaqzq3k4

Differential Evolution Algorithm using Environment Based Operator

2020 International journal of recent technology and engineering  
In this paper, new mutation strategies are proposed to improve the accuracy of the cost estimation by COCOMO's tuning parameters using the Internal adaption based mutation operator for differential evolution  ...  The proposed method provides more promising solutions to take the lead evolution and helps DE abstain the circumstance of stability.  ...  Basic Differential Evolution G i D G i G i G i         (1) where, NP is a population size of parameter vectors, i = 1, 2, 3........NP, D is a dimension and G is a generation. fitness value of  ... 
doi:10.35940/ijrte.d9774.018520 fatcat:dfcposgzsvfpjfnn3ir7ftea6q

Adaptive Distributed Differential Evolution

Zhi-Hui Zhan, Zi-Jia Wang, Hu Jin, Jun Zhang
2019 IEEE Transactions on Cybernetics  
Due to the increasing complexity of optimization problems, distributed differential evolution (DDE) has become a promising approach for global optimization.  ...  The experimental results show that ADDE has great superiority compared with the other state-of-the-art DDE and adaptive differential evolution variants.  ...  Thus, in our proposed ADDE, we adaptively control the population size using the feedback information of the BSI in the evolutionary process. Denote the current population size as N.  ... 
doi:10.1109/tcyb.2019.2944873 fatcat:uptzut7kdvd6jdjy2nklcmacfe

Editorial Dedicated population genomics for the silent world: the specific questions of marine population genetics

Nicolas Bierne, François Bonhomme, Sophie Arnaud-Haond
2016 Current Zoology  
Acknowledgments We thank Zhi-Yun Jia for the invitation to guest edit a special column on marine population genomics in Current Zoology.  ...  We are also grateful to the students and invited speakers of the Doctoral Training Course "Génétique et Evolution des Organismes Marins" (Doctoral Programme GAIA, University of Montpellier) for all the  ...  This result suggests that a few families have a disproportionate contribution to the current generation, although most of the sampled fishes are unrelated, in accordance with the "Eldon-Wakeley" model  ... 
doi:10.1093/cz/zow107 pmid:29491944 pmcid:PMC5804263 fatcat:ht2aa4bqhfdo5fktfcanv4c4yy

AncDE with gaussian distribution for numerical optimization problem

Siti Khadijah Mohd Salleh, Siti Azirah Asmai, Zuraida Abal Abas, Abdul Samad Shibghatullah, Diarmuid O'Donoghue
2019 IJAIN (International Journal of Advances in Intelligent Informatics)  
This work is introducing an enhanced Differential Evolution (DE) called AncDE. This proposed algorithm is using an additional population from the current generation and located it as ancestor.  ...  In this work we were applying Gaussian distribution on aup and we tested it on CEC 2015 Numerical Optimization Problem. Standard Differential Evolution will act as the benchmark.  ...  This work is introducing an enhanced Differential Evolution (DE) called AncDE. This proposed algorithm is using an additional population from the current generation and located it as ancestor.  ... 
doi:10.26555/ijain.v5i1.258 fatcat:472yaci4x5hjtat756mwmbrpsq

Evolution of adaptive diversity and genetic connectivity in Arctic charr (Salvelinus alpinus) in Iceland

K H Kapralova, M B Morrissey, B K Kristjánsson, G Á Ólafsdóttir, S S Snorrason, M M Ferguson
2011 Heredity  
Genetic connectivity among populations is likely also to have an important role in both the origin and maintenance of adaptive genetic diversity.  ...  We conclude that contemporary and recent patterns of restricted gene flow have been highly conducive to the evolution and maintenance of adaptive genetic variation in Icelandic Arctic charr.  ...  and reference Arctic charr populations.  ... 
doi:10.1038/hdy.2010.161 pmid:21224880 pmcid:PMC3131972 fatcat:zfl43wun4bau5abcbssbgaoeee

Improved Differential Evolution Algorithm based on Dynamic Adaptive Strategies and Control Parameters

Congjiao Wang, Xihuai Wang, Jianmei Xiao, Yi Ding
2014 International Journal of Control and Automation  
global optimal solution in the late stage of evolution to balance the diversity of population and convergence speed.  ...  Firstly, the elite solutions of current population are utilized in the new mutation strategy (DE/current-to-dnbest/1) to guide the search direction, and then these optional elite solutions tend to the  ...  population size is NP and the evolution generation m a x = 0 ,1, ..., GG , the dimension of individual variables presents as D , then the th i individual of the population at the current generation can  ... 
doi:10.14257/ijca.2014.7.9.07 fatcat:h7xh5tkrx5arfouaj745sjw4m4

Elite representative based individual adaptive regeneration framework for differential evolution

Gaoji Sun, Yiran Wu, Libao Deng, Kai Wang
2020 IEEE Access  
INDEX TERMS Differential evolution, adaptive regeneration framework, dynamic elite swarm, global numerical optimization. in 2015.  ...  The whole regeneration and substitution mechanism is dynamically adapted according to the evolutionary process and the fitness ranking status of current individuals to balance between exploitation and  ...  Other control parameters which function similarly to F and CR in the original DE are dynamically adapted according to the process of evolution and the ranking status of the current individual.  ... 
doi:10.1109/access.2020.2983840 fatcat:64dgtr2azne6jd7xyhfa4pplle

Covariance Matrix Learning Differential Evolution Algorithm Based on Correlation

Sainan Yuan, Quanxi Feng
2021 International Journal of Intelligence Science  
Differential evolution algorithm based on the covariance matrix learning can adjust the coordinate system according to the characteristics of the population, which makes the search move in a more favorable  ...  In order to obtain more accurate information about the function shape, this paper proposes covariance matrix learning differential evolution algorithm based on correlation (denoted as RCLDE) to improve  ...  This work is proudly supported in part by National Natural Science Foundation of China (No. 61763008, 11661030, 11401357, Conflicts of Interest The authors declare no conflicts of interest regarding  ... 
doi:10.4236/ijis.2021.111002 fatcat:nm7wjwnu55gbdnhiuuaczquplq

Solving Rotated Multi-objective Optimization Problems Using Differential Evolution [chapter]

Antony W. Iorio, Xiaodong Li
2004 Lecture Notes in Computer Science  
This paper demonstrates that the self-adaptive technique of Differential Evolution (DE) can be simply used for solving a multiobjective optimization problem where parameters are interdependent.  ...  The Differential Evolution variant of the NSGA-II has demonstrated rotational invariance and superior performance over the NSGA-II on this problem.  ...  The algorithm iterates over i from 1 to n, where n is the size of the population. Multi-objective Differential Evolution Differential Evolution has also been applied to multi-objective problems.  ... 
doi:10.1007/978-3-540-30549-1_74 fatcat:d2fh3iyhcngtjdfvtgwsqwr2yy

Internal Adaption based Nature Inspired Algorithm for Application in Software Engineering

2020 International journal of recent technology and engineering  
In this paper, new mutation strategies are proposed to improve the accuracy of the cost estimation by COCOMO's tuning parameters using the Internal adaption based mutation operator for differential evolution  ...  The proposed method provides more promising solutions to take the lead evolution and helps DE abstain the circumstance of stability.  ...  best vector of current population  ... 
doi:10.35940/ijrte.d9772.018520 fatcat:ce77gn2lr5hodmxum6hgjzp3zi

An Adaptive Population Size Differential Evolution with Novel Mutation Strategy for Constrained Optimization [article]

Yuan Fu, Hu Wang, Meng-Zhu Yang
2018 arXiv   pre-print
To achieve the aim of searching the feasible solutions accurately, an adaptive population size method and an adaptive mutation strategy are proposed in the paper.  ...  The adaptive population method is similar to a state switch which controls the exploring state and exploiting state according to the situation of feasible solution search.  ...  Each subpopulation has own mutation strategy and adaptive In the preceding steps of evolution, the size of the subpopulations will change according to the success rate of evolution.  ... 
arXiv:1805.04217v1 fatcat:wr7fbgbetze6zpt4y2h6vn3b6q
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