The nature of statistical learning theory
The nature of statistical learning theory
Mechanical engineering design optimization by differential evolution
New ideas in optimization
Journal of Global Optimization
A Trigonometric Mutation Operation to Differential Evolution
Journal of Global Optimization
DE/EDA: a new evolutionary algorithm for global optimization
Information Sciences—Informatics and Computer Science: An International Journal
A Fuzzy Adaptive Differential Evolution Algorithm
Soft Computing - A Fusion of Foundations, Methodologies and Applications
On the Choice of the Offspring Population Size in Evolutionary Algorithms
Evolutionary Computation
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Exploring dynamic self-adaptive populations in differential evolution
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Population size reduction for the differential evolution algorithm
Applied Intelligence
Satellite Image Registration by Distributed Differential Evolution
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Differential evolution algorithm with strategy adaptation for global numerical optimization
IEEE Transactions on Evolutionary Computation
Differential evolution using a neighborhood-based mutation operator
IEEE Transactions on Evolutionary Computation
Recent advances in differential evolution: a survey and experimental analysis
Artificial Intelligence Review
Kernel-induced fuzzy clustering of image pixels with an improved differential evolution algorithm
Information Sciences: an International Journal
JADE: adaptive differential evolution with optional external archive
IEEE Transactions on Evolutionary Computation
Ensemble strategies with adaptive evolutionary programming
Information Sciences: an International Journal
Differential evolution in constrained numerical optimization: An empirical study
Information Sciences: an International Journal
Differential evolution algorithm with ensemble of parameters and mutation strategies
Applied Soft Computing
A study on scale factor in distributed differential evolution
Information Sciences: an International Journal
Disturbed Exploitation compact Differential Evolution for limited memory optimization problems
Information Sciences: an International Journal
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Improving the performance of differential evolution algorithm using Cauchy mutation
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Recent progress in natural computation and knowledge discovery
Information Sciences: an International Journal
Information Sciences: an International Journal
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
Rank-density-based multiobjective genetic algorithm and benchmark test function study
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
Opposition-Based Differential Evolution
IEEE Transactions on Evolutionary Computation
Accelerating Differential Evolution Using an Adaptive Local Search
IEEE Transactions on Evolutionary Computation
Differential Evolution: A Survey of the State-of-the-Art
IEEE Transactions on Evolutionary Computation
Compact Differential Evolution
IEEE Transactions on Evolutionary Computation
Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators
IEEE Transactions on Evolutionary Computation
Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
PSO-Based Multiobjective Optimization With Dynamic Population Size and Adaptive Local Archives
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Enhanced Differential Evolution With Adaptive Strategies for Numerical Optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Automatic Clustering Using an Improved Differential Evolution Algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A comparative study of population-based optimization algorithms for turning operations
Information Sciences: an International Journal
Adaptive Memetic Differential Evolution with Global and Local neighborhood-based mutation operators
Information Sciences: an International Journal
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Recently, various offspring generation strategies and parameter adaptation mechanisms have been developed to enhance the reliability and robustness of differential evolution (DE). However, the population size is generally fixed throughout the evolutionary search in most existing DE-variants, which leads to unsatisfactory performance. Based on the solution-searching status, in this paper, an adaptive population tuning scheme (APTS) for DE is proposed to dynamically adjust the population size. More specifically, on the basis of a ranking technique, a dynamic population strategy is adopted to remove redundant individuals from the population according to its ranking order. It is also applied to perturb the population and generate ''fine'' individuals. The proposed APTS is controlled by a status monitor, which is used to keep track of the progress of individuals and improve the performance of dynamic population strategy. In addition, this APTS framework is incorporated into several recently reported DE variants. The experimental results over 25 commonly used CEC2005 test functions demonstrate the effectiveness and usefulness of the proposed method.