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Recent advances in differential evolution – An updated survey
Swarm and Evolutionary Computation, 2016Swagatam Das +1 more
exaly +2 more sources
, 2021
Photovoltaic (PV) generation systems are vital to the utilization of the sustainable and pollution-free solar energy. However, the parameter estimation of PV systems remains very challenging due to its inherent nonlinear, multi-variable, and multi-modal ...
Shangce Gao +5 more
semanticscholar +1 more source
Photovoltaic (PV) generation systems are vital to the utilization of the sustainable and pollution-free solar energy. However, the parameter estimation of PV systems remains very challenging due to its inherent nonlinear, multi-variable, and multi-modal ...
Shangce Gao +5 more
semanticscholar +1 more source
Differential Evolution: A review of more than two decades of research
Engineering applications of artificial intelligence, 2020Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most frequently used algorithms for solving complex optimization problems.
Bilal +4 more
semanticscholar +1 more source
Improving Differential Evolution through Bayesian Hyperparameter Optimization
IEEE Congress on Evolutionary Computation, 2021We propose a novel Evolutionary Algorithm (EA) based on the Differential Evolution algorithm for solving global numerical optimization problem in real-valued continuous parameter space.
Subhodip Biswas +5 more
semanticscholar +1 more source
Q-Learning-based parameter control in differential evolution for structural optimization
Applied Soft Computing, 2021The operations of metaheuristic optimization algorithms depend heavily on the setting of control parameters. Therefore the addition of adaptive control parameter has been widely studied and shown to enhance the problem flexibility and overall performance
T. N. Huynh, Dieu T. T. Do, Jaehong Lee
semanticscholar +1 more source
Compact Differential Evolution
IEEE Transactions on Evolutionary Computation, 2011This paper proposes the compact differential evolution (cDE) algorithm. cDE, like other compact evolutionary algorithms, does not process a population of solutions but its statistic description which evolves similarly to all the evolutionary algorithms.
Mininno E +3 more
openaire +3 more sources
A fitness-based adaptive differential evolution algorithm
Information Sciences, 2021The performance of differential evolution (DE) mainly depends on its breeding offspring strategy (i.e., trial vector generation strategies and associated control parameters).
Xuewen Xia +9 more
semanticscholar +1 more source
Swarm and Evolutionary Computation, 2021
When solving constrained multiobjective optimization problems by evolutionary algorithm, the key challenge is how to achieve the balance among convergence, diversity, and feasibility.
Kunjie Yu +3 more
semanticscholar +1 more source
When solving constrained multiobjective optimization problems by evolutionary algorithm, the key challenge is how to achieve the balance among convergence, diversity, and feasibility.
Kunjie Yu +3 more
semanticscholar +1 more source
Binary differential evolution with self-learning for multi-objective feature selection
Information Sciences, 2020Feature selection is an important data preprocessing method. This paper studies a new multi-objective feature selection approach, called the Binary Differential Evolution with self-learning (MOFS-BDE).
Yong Zhang +4 more
semanticscholar +1 more source
Phylogenetic Differential Evolution
International Journal of Natural Computing Research, 2011This paper presents a new technique for optimizing binary problems with building blocks. The authors have developed a different approach to existing Estimation of Distribution Algorithms (EDAs). Our technique, called Phylogenetic Differential Evolution (PhyDE), combines the Phylogenetic Algorithm and the Differential Evolution Algorithm.
Vinícius Veloso de Melo +2 more
openaire +1 more source