<--- Back to Details
First PageDocument Content
Mathematical optimization / Science / Mathematics / Operations research / Genetic algorithms / Evolutionary computation / Stochastic optimization / Genetic programming / Machine learning / Cybernetics / Evolutionary algorithms / Applied mathematics
Date: 2005-05-02 05:46:42
Mathematical optimization
Science
Mathematics
Operations research
Genetic algorithms
Evolutionary computation
Stochastic optimization
Genetic programming
Machine learning
Cybernetics
Evolutionary algorithms
Applied mathematics

Proposal for a common research project INRIA-LRI as part of UR Futurs TAO - Th` emes Apprentissage et Optimisation Machine Learning, Data Mining and Evolutionary Optimization Marc Schoenauer1 et Mich`

Add to Reading List

Source URL: www.cs.nyu.edu

Download Document from Source Website

File Size: 163,34 KB

Share Document on Facebook

Similar Documents

Tobias Peter  Using Deep Learning as a surrogate model in Multi-objective Evolutionary Algorithms

Tobias Peter Using Deep Learning as a surrogate model in Multi-objective Evolutionary Algorithms

DocID: 1uwn0 - View Document

APPLICATION OF TWO-LEVEL EVOLUTIONARY ALGORITHMS TO SELF-STRUCTURING ANTENNAS C. M. Coleman*, E. J. Rothwell ECE Department Michigan State University East Lansing, MI 48824

APPLICATION OF TWO-LEVEL EVOLUTIONARY ALGORITHMS TO SELF-STRUCTURING ANTENNAS C. M. Coleman*, E. J. Rothwell ECE Department Michigan State University East Lansing, MI 48824

DocID: 1uaTK - View Document

A Gentle Introduction to the Time Complexity Analysis of Evolutionary Algorithms Pietro S. Oliveto Department of Computer Science The University of Sheffield, Sheffield, UK email:

A Gentle Introduction to the Time Complexity Analysis of Evolutionary Algorithms Pietro S. Oliveto Department of Computer Science The University of Sheffield, Sheffield, UK email:

DocID: 1uaFl - View Document

Evolutionary Algorithms for Quantum Computers Daniel Johannsen ∗  School of Mathematical Sciences

Evolutionary Algorithms for Quantum Computers Daniel Johannsen ∗ School of Mathematical Sciences

DocID: 1rQ44 - View Document

Creative Evolutionary Algorithms Francisco Fernandez de Vega University of Extremadura Abstract The Tutorial on Creative Evolutionary Algorithms (EAs) is aimed at CEC attendees with limited knowledge on the applications

Creative Evolutionary Algorithms Francisco Fernandez de Vega University of Extremadura Abstract The Tutorial on Creative Evolutionary Algorithms (EAs) is aimed at CEC attendees with limited knowledge on the applications

DocID: 1rOrd - View Document