Answers are grounded in this paper and cite their sources.
Demonstrates optimization of real-valued functions in computational contests, suggesting efficient techniques are available.
Differential Evolution (DE) has recently proven to be an efficient method for optimizing real-valued multi-modal objective functions. Besides its good convergence properties and suitability for parallelization, DE's main assets are its conceptual simplicity and ease of use. This paper describes two variants of DE which were used to minimize the real test functions of the ICEC'96 contest.
No takes yet. Share an insight, caveat, or question.
Storn et al. (2002) studied this question.
Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context: