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EMO
2009
Springer
159views Optimization» more  EMO 2009»
16 years 2 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
16 years 1 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 8 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
16 years 1 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