Journal of Global Optimization
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: In Search of Solutions (Springer Optimization and Its Applications)
Differential Evolution: In Search of Solutions (Springer Optimization and Its Applications)
A comparative study of stochastic optimization methods in electric motor design
Applied Intelligence
Population size reduction for the differential evolution algorithm
Applied Intelligence
Influence of crossover on the behavior of Differential Evolution Algorithms
Applied Soft Computing
Adaptation in differential evolution: A numerical comparison
Applied Soft 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
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Recent advances in differential evolution: a survey and experimental analysis
Artificial Intelligence Review
JADE: adaptive differential evolution with optional external archive
IEEE Transactions on Evolutionary Computation
Differential evolution algorithm with ensemble of parameters and mutation strategies
Applied Soft Computing
Differential evolution for parameterized procedural woody plant models reconstruction
Applied Soft Computing
The differential ant-stigmergy algorithm
Information Sciences: an International Journal
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
Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters
IEEE Transactions on Evolutionary Computation
Differential evolution and differential ant-stigmergy on dynamic optimisation problems
International Journal of Systems Science
Information Sciences: an International Journal
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This paper presents a novel differential evolution algorithm for optimization of state-of-the-art real world industry challenges. The algorithm includes the self-adaptive jDE algorithm with one of its strongest extensions, population reduction, and is now combined with multiple mutation strategies. The two mutation strategies used are run dependent on the population size, which is reduced with growing function evaluation number. The problems optimized reflect several of the challenges in current industry problems tackled by optimization algorithms nowadays. We present results on all of the 22 problems included in the Problem Definitions for a competition on Congress on Evolutionary Computation (CEC) 2011. Performance of the proposed algorithm is compared to two algorithms from the competition, where the average final best results obtained for each test problem on three different number of total function evaluations allowed are compared.