Search results for "covariance matrix adaptation evolution strategy"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
2	Ricardo de A. Araújo, Adriano L. I. de Oliveira, Sérgio C. B. Soares	A covariance matrix adaptation based evolutionary methodology for phase adjustment in financial time series forecasting.	GECCO	2010	DBLP DOI BibTeX RDF	covariance matrix adaptation evolution strategy, multilayer perceptron networks, random walk dilemma, time phase adjustment, evolutionary algorithms, financial time series forecasting
2	Verena Heidrich-Meisner, Christian Igel	Uncertainty handling CMA-ES for reinforcement learning.	GECCO	2009	DBLP DOI BibTeX RDF	covariance matrix adaptation evolution strategy, direct policy search, reinforcement learning, uncertainty handling
1	Ilya Loshchilov, Marc Schoenauer, Michèle Sebag	Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy	CoRR	2012	DBLP BibTeX RDF
1	M. Willjuice Iruthayarajan, S. Baskar	Covariance matrix adaptation evolution strategy based design of centralized PID controller.	Expert Syst. Appl.	2010	DBLP DOI BibTeX RDF
1	Chih-Ming Chen, Ying-Ping Chen, Tzu-Ching Shen, John K. Zao	On the optimization of degree distributions in LT code with covariance matrix adaptation evolution strategy.	IEEE Congress on Evolutionary Computation	2010	DBLP DOI BibTeX RDF
1	Anne Auger, Dimo Brockhoff, Nikolaus Hansen	Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noiseless BBOB-2010 testbed.	GECCO (Companion)	2010	DBLP DOI BibTeX RDF	benchmarking, black-box optimization
1	Anne Auger, Dimo Brockhoff, Nikolaus Hansen	Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed.	GECCO (Companion)	2010	DBLP DOI BibTeX RDF	benchmarking, black-box optimization
1	Anne Auger, Dimo Brockhoff, Nikolaus Hansen	Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed.	GECCO (Companion)	2010	DBLP DOI BibTeX RDF	benchmarking, black-box optimization
1	Nikolaus Hansen, Raymond Ros	Black-box optimization benchmarking of NEWUOA compared to BIPOP-CMA-ES: on the BBOB noiseless testbed.	GECCO (Companion)	2010	DBLP DOI BibTeX RDF	benchmarking, evolution strategy, black-box optimization, derivative-free optimization
1	Raymond Ros	Black-box optimization benchmarking the IPOP-CMA-ES on the noiseless testbed: comparison to the BIPOP-CMA-ES.	GECCO (Companion)	2010	DBLP DOI BibTeX RDF	keywords benchmarking, evolution strategy, black-box optimization
1	Ofer M. Shir, Jonathan Roslund, Herschel Rabitz	Forced optimal covariance adaptive learning: modified CMA-ES for efficient hessian determination.	GECCO	2010	DBLP DOI BibTeX RDF	experimental optimization, hessian learning, FOCAL
1	Thomas Voß, Nikolaus Hansen, Christian Igel	Improved step size adaptation for the MO-CMA-ES.	GECCO	2010	DBLP DOI BibTeX RDF	mo-cma-es, step size adaptation, multi-objective optimization, evolution strategy, covariance matrix adaptation
1	Jérémie Bruyelle, Arnaud Lange	An extended evolution strategy for the characterization of fracture conductivities from well tests.	GECCO	2009	DBLP DOI BibTeX RDF	evolutionary algorithm, inverse problem, characterization, fracture, cma-es
1	Xuefeng Chen, Xiabi Liu, Yunde Jia	Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers.	GECCO	2009	DBLP DOI BibTeX RDF	max-min posterior pseudo-probabilities (mmp), evolution strategy, gradient descent, handwritten digit recognition, discriminative learning
1	Andreas Jordt, Nils T. Siebel, Gerald Sommer	Automatic high-precision self-calibration of camera-robot systems.	ICRA	2009	DBLP DOI BibTeX RDF
1	Thomas Voß, Nikolaus Hansen, Christian Igel	Recombination for Learning Strategy Parameters in the MO-CMA-ES.	EMO	2009	DBLP DOI BibTeX RDF
1	José María Valls, Ricardo Aler	Optimizing Data Transformations for Classification Tasks.	IDEAL	2009	DBLP DOI BibTeX RDF	General Euclidean Distances, Evolutionary-based Machine Learning, Evolutionary Computation, Data transformations
1	Anne Auger, Nikolaus Hansen, Jorge M. Perez Zerpa, Raymond Ros, Marc Schoenauer	Experimental Comparisons of Derivative Free Optimization Algorithms.	SEA	2009	DBLP DOI BibTeX RDF
1	Maryam Salehi, Alan Ableson, Parvin Mousavi	Reverse engineering time series of gene expression data using Dynamic Bayesian networks and covariance matrix adaptation evolution strategy with explicit memory.	CIBCB	2008	DBLP DOI BibTeX RDF
1	Pilar Caamaño, Francisco Bellas, José Antonio Becerra, Richard J. Duro	Application domain study of evolutionary algorithms in optimization problems.	GECCO	2008	DBLP DOI BibTeX RDF	algorithm characterization, comparison tests, optimization benchmarks, evolutionary algorithms, error measures
1	Verena Heidrich-Meisner, Christian Igel	Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem.	EWRL	2008	DBLP DOI BibTeX RDF
1	Hans-Georg Beyer, Bernhard Sendhoff	Covariance Matrix Adaptation Revisited - The CMSA Evolution Strategy -.	PPSN	2008	DBLP DOI BibTeX RDF
1	Tobias Glasmachers, Christian Igel	Uncertainty Handling in Model Selection for Support Vector Machines.	PPSN	2008	DBLP DOI BibTeX RDF
1	Verena Heidrich-Meisner, Christian Igel	Evolution Strategies for Direct Policy Search.	PPSN	2008	DBLP DOI BibTeX RDF
1	Raymond Ros, Nikolaus Hansen	A Simple Modification in CMA-ES Achieving Linear Time and Space Complexity.	PPSN	2008	DBLP DOI BibTeX RDF
1	James N. Knight, Monte Lunacek	Reducing the space-time complexity of the CMA-ES.	GECCO	2007	DBLP DOI BibTeX RDF	complexity, evolution strategy, covariance matrix adaptation
1	Jörn Mehnen, Rajkumar Roy, Petra Kersting, Tobias Wagner	ICSPEA: evolutionary five-axis milling path optimisation.	GECCO	2007	DBLP DOI BibTeX RDF	SPEA 2, evolutionary computing, multi-objective optimisation, CMA-ES, mechanical engineering
1	Mohamed Jebalia, Anne Auger, Marc Schoenauer, F. James, M. Postel	Identification of the isotherm function in chromatography using CMA-ES.	IEEE Congress on Evolutionary Computation	2007	DBLP DOI BibTeX RDF
1	Ofer M. Shir, Michael Emmerich, Thomas Bäck	Self-Adaptive Niching CMA-ES with Mahalanobis Metric.	IEEE Congress on Evolutionary Computation	2007	DBLP DOI BibTeX RDF
1	William B. Langdon, Riccardo Poli	Evolving Problems to Learn About Particle Swarm Optimizers and Other Search Algorithms.	IEEE Trans. Evolutionary Computation	2007	DBLP DOI BibTeX RDF
1	Nils T. Siebel, Yohannes Kassahun	Learning Neural Networks for Visual Servoing Using Evolutionary Methods.	HIS	2006	DBLP DOI BibTeX RDF
1	Christian Igel, Thorsten Suttorp, Nikolaus Hansen	Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES.	EMO	2006	DBLP DOI BibTeX RDF
1	Britta Mersch, Tobias Glasmachers, Peter Meinicke, Christian Igel	Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts.	ICANN	2006	DBLP DOI BibTeX RDF
1	Stefan Kern, Nikolaus Hansen, Petros Koumoutsakos	Local Meta-models for Optimization Using Evolution Strategies.	PPSN	2006	DBLP DOI BibTeX RDF
1	Yuichi Nagata	The Lens Design Using the CMA-ES Algorithm.	GECCO	2004	DBLP DOI BibTeX RDF
1	Jiri Ocenasek, Stefan Kern, Nikolaus Hansen, Petros Koumoutsakos	A Mixed Bayesian Optimization Algorithm with Variance Adaptation.	PPSN	2004	DBLP DOI BibTeX RDF
1	Michele Milano, Jürgen Schmidhuber, Petros Koumoutsakos	Active Learning with Adaptive Grids.	ICANN	2001	DBLP DOI BibTeX RDF