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» Defining implicit objective functions for design problems
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EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
14 years 1 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
13 years 8 months ago
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Saúl Zapotecas Martínez, Carlos A. C...
SIGCSE
2002
ACM
229views Education» more  SIGCSE 2002»
13 years 7 months ago
GraphicsMentor: a tool for learning graphics fundamentals
This paper discusses the functionality of GraphicsMentor. GraphicsMentor permits a student to modify many parameters of the camera, objects, and light sources interactively, and t...
Dejan Nikolic, Ching-Kuang Shene
EAAI
2006
189views more  EAAI 2006»
13 years 7 months ago
Evolutionary algorithms for VLSI multi-objective netlist partitioning
The problem of partitioning appears in several areas ranging from VLSI, parallel programming, to molecular biology. The interest in finding an optimal partition especially in VLSI ...
Sadiq M. Sait, Aiman H. El-Maleh, Raslan H. Al-Aba...
WIOPT
2010
IEEE
13 years 6 months ago
Competitive interference-aware spectrum access in cognitive radio networks
—Cognitive radio networks provide the capability to share the wireless channel with licensed (primary) users in an opportunistic manner. Primary users have a license to operate i...
Jocelyne Elias, Fabio Martignon, Antonio Capone, E...