Differential Evolution applied to a multimodal information theoretic optimization problem

This paper discusses the problems raised by the optimization of a mutual information-based objective function, in the context of a multimodal speaker detection. As no approximation is used, this function is highly nonlinear and plagued by numerous local minima. Three different optimization methods are compared. The Differential Evolution algorithm is deemed to be the best for the problem at hand and, consequently, is used to perform the speaker detection.


Published in:
Applications of Evolutionary Computing, Proceedings of the 8th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing (evoIASP), LNCS 3907, 505-509
Presented at:
EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, Budapest, Hungary, EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, Budapest, April 10-12
Year:
2006
Keywords:
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 Record created 2006-06-14, last modified 2018-03-17


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