Storn, Rainer; Price, Kenneth Differential evolution – a simple and efficient heuristic for global optimization over continuous spaces. (English) Zbl 0888.90135 J. Glob. Optim. 11, No. 4, 341-359 (1997). Summary: A new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented. By means of an extensive testbed it is demonstrated that the new method converges faster and with more certainty than many other acclaimed global optimization methods. The new method requires few control variables, is robust, easy to use, and lends itself very well to parallel computation. Cited in 1 ReviewCited in 1101 Documents MSC: 90C30 Nonlinear programming 90C48 Programming in abstract spaces 90C59 Approximation methods and heuristics in mathematical programming 68T05 Learning and adaptive systems in artificial intelligence Keywords:differential evolution; genetic algorithm; evolution strategy; heuristic; non-differentiable continuous space functions; global optimization Software:simannf90 PDFBibTeX XMLCite \textit{R. Storn} and \textit{K. Price}, J. Glob. Optim. 11, No. 4, 341--359 (1997; Zbl 0888.90135) Full Text: DOI