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EMO
2009
Springer
159views Optimization» more  EMO 2009»
15 years 10 months ago
Recombination for Learning Strategy Parameters in the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is a variable-metric algorithm for real-valued vector optimization. It maintains a parent population...
Thomas Voß, Nikolaus Hansen, Christian Igel
IWINAC
2007
Springer
15 years 10 months ago
Gaining Insights into Laser Pulse Shaping by Evolution Strategies
Abstract. We consider the numerical evolutionary optimization of dynamic molecular alignment by shaped femtosecond laser pulses. We study a simplified model of this quantum contro...
Ofer M. Shir, Joost N. Kok, Thomas Bäck, Marc...
NAACL
2001
15 years 5 months ago
Learning Optimal Dialogue Management Rules by Using Reinforcement Learning and Inductive Logic Programming
Developing dialogue systems is a complex process. In particular, designing efficient dialogue management strategies is often difficult as there are no precise guidelines to develo...
Renaud Lecoeuche
EMSOFT
2005
Springer
15 years 9 months ago
Communication strategies for shared-bus embedded multiprocessors
Abstract— This paper explores the problem of efficiently ordering interprocessor communication operations in both statically and dynamically-scheduled multiprocessors for iterat...
Neal K. Bambha, Shuvra S. Bhattacharyya