Survey on Estimation of Distribution Algorithms with Emphasis on Copula-based Models
نویسندگان
چکیده
Evolutionary algorithms (EAs) have becomeone of the successful optimization methods du-ring the last few decades, especially for pro-blems where smooth optimization cannot beused. This work summarises present trends inEstimation of distribution algorithms (EDAs),a recent kind of EAs, and suggests a furtherresearch direction. These algorithms evolve apopulation of partial solutions, and instead ofmodifying the individuals by genetic operati-ons, they construct the probability distribution oftheir variables and use it for sampling new popu-lation. Besides overview of the current EDAs fordiscrete and continuous parameters, different ap-proaches to construction of probability distribu-tions including the very recent usage of copulasare presented.
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