Computer Generation of Random Variables Using the Ratio of Uniform Deviates
ACM Transactions on Mathematical Software (TOMS)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
An enhanced memetic differential evolution in filter design for defect detection in paper production
Evolutionary Computation
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Influence of crossover on the behavior of Differential Evolution Algorithms
Applied Soft Computing
Study on the effects of pseudorandom generation quality on the performance of differential evolution
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part I
Shuffle or update parallel differential evolution for large-scale optimization
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems
Differential Evolution: A Survey of the State-of-the-Art
IEEE Transactions on Evolutionary Computation
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This paper compares the binomial crossover used in the Differential Evolution with a variant named the contiguous binomial crossover. In the latter, a contiguous block of variables is used for selecting which variables are exchanged, in a fashion similar to that of the exponential crossover, allowing to using a single, normally-distributed random number to decide the number of exchanged variables. Experimental results show that this variant of the binomial crossover exhibits in general similar or better performance than the original one, and allows to increase significantly the execution speed of the Differential Evolution, especially in higher dimension problems.