Titlebook: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV; International Confer Michael Emmerich,Andre

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Kinetic

Unsupervised Classifier Based on Heuristic Optimization and Maximum Entropy Principle,are interesting properties. This implies a singular process of classification usually denoted as "clustering", where the objects are grouped into . subsets (clusters) in accordance with an appropriate measure of likelihood. Clustering can be considered the most important unsupervised learning proble

Axon895

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Antioxidant

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Sewer Network Design Optimization Problem Using Ant Colony Optimization Algorithm and Tree Growing . ACOA has a unique feature namely incremental solution building mechanism which is used here for this problem. Layout and pipe size optimization of sewer network is a highly constrained Mixed-Integer Nonlinear Programming (MINLP) problem presenting a challenge even to the modern heuristic search me

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Outmoded

A Benchmark on the Interaction of Basic Variation Operators in Multi-objective Peptide Design Evalu general for several well-known reasons. Multi-objective evolutionary algorithms (MOEAs) introduce adequate in silico methods for finding optimal peptide sequences which optimize several molecular properties. A mutation-specific fast non-dominated sorting GA (termed MSNSGA-II) is especially designed