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» Single Run Optimization Using the Reverse-Simulation Method
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GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 5 months ago
Developing neural structure of two agents that play checkers using cartesian genetic programming
A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes. Two agent...
Gul Muhammad Khan, Julian Francis Miller, David M....
AAAI
2010
15 years 6 months ago
To Max or Not to Max: Online Learning for Speeding Up Optimal Planning
It is well known that there cannot be a single "best" heuristic for optimal planning in general. One way of overcoming this is by combining admissible heuristics (e.g. b...
Carmel Domshlak, Erez Karpas, Shaul Markovitch
DATE
2007
IEEE
108views Hardware» more  DATE 2007»
15 years 11 months ago
Speeding up SystemC simulation through process splitting
This paper presents a new approach that can be used to speed up SystemC simulations by automatically optimizing the model for simulation. The work addresses the inefficiency of th...
Youssef N. Naguib, Rafik S. Guindi
166
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CG
2005
Springer
15 years 4 months ago
Adaptive density estimation using an orthogonal series for global illumination
In Monte-Carlo photon-tracing methods energy-carrying particles are traced in an environment to generate hit points on object surfaces for simulating global illumination. The surf...
Kam Wah Wong, Wenping Wang
SIGIR
2010
ACM
15 years 5 months ago
Optimal meta search results clustering
By analogy with merging documents rankings, the outputs from multiple search results clustering algorithms can be combined into a single output. In this paper we study the feasibi...
Claudio Carpineto, Giovanni Romano