<--- Back to Details
First PageDocument Content
Applied mathematics / Stochastic optimization / Cybernetics / CMA-ES / Evolution strategy / Coordinate descent / Surrogate model / Principal component analysis / BFGS method / Numerical analysis / Evolutionary algorithms / Mathematical optimization
Date: 2013-01-23 06:03:14
Applied mathematics
Stochastic optimization
Cybernetics
CMA-ES
Evolution strategy
Coordinate descent
Surrogate model
Principal component analysis
BFGS method
Numerical analysis
Evolutionary algorithms
Mathematical optimization

Add to Reading List

Source URL: www.loshchilov.com

Download Document from Source Website

File Size: 827,69 KB

Share Document on Facebook

Similar Documents

Mathematical optimization / Computational complexity theory / Theory of computation / Applied mathematics / Academia / Evolutionary algorithms / Operations research / Cybernetics / Multi-objective optimization / Reduction / Algorithm / CMA-ES

Efficient Optimization of Many Objectives by Approximation-Guided Evolution Markus Wagnerc,∗, Karl Bringmanna , Tobias Friedrichb , Frank Neumannc a Max-Planck-Institut f¨

DocID: 1r3J2 - View Document

Operations research / Numerical analysis / Systems science / Cybernetics / Evolutionary algorithms / Applied mathematics / CMA-ES / Stochastic optimization / Lunar Lander / Mathematical optimization / Dynamical system

Measuring Interestingness of Continuous Game Problems Samuel A. Roberts, Simon M. Lucas Abstract—This paper investigates the relationship between the difficulty and the interestingness of individual problem candidates

DocID: 1qBot - View Document

Evolutionary algorithms / Mathematical analysis / Mathematics / Mathematical optimization / CMA-ES / Gaussian adaptation / Hessian matrix / Evolution strategy

12th International Conference on Parallel Problem Solving From Nature - PPSN XII On spectral invariance of Randomized Hessian and Covariance Matrix Adaptation schemes Sebastian U. Stich

DocID: 1q5BU - View Document

Normal distribution / CMA-ES

Empirical investigation of simplied step-size control in metaheuristics with a view to theory ⋆ Jens Jägersküpper & Mike Preuss Technische Universität Dortmund, Fakultät für Informatik, 44221 Dortmund, Germany

DocID: 1psjq - View Document

Evolutionary algorithms / Mathematical optimization / Operations research / Stochastic optimization / CMA-ES / Convex optimization / Global optimization / Gradient descent / Evolution strategy / Gaussian adaptation / Derivative-free optimization / Gradient method

Sebastian U. Stich MADALGO & CTIC Summer SchoolInstitute of Theoretical Computer Science

DocID: 1prn2 - View Document