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GLVLSI
2003
IEEE
129views VLSI» more  GLVLSI 2003»
15 years 11 months ago
A system-level methodology for fast multi-objective design space exploration
In this paper, we address the problem of the efficient exploration of the architectural design space for parameterized systems. Since the design space is multi-objective, our aim ...
Gianluca Palermo, Cristina Silvano, S. Valsecchi, ...
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
16 years 18 days ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles
ICML
2003
IEEE
16 years 7 months ago
Hierarchical Policy Gradient Algorithms
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
Mohammad Ghavamzadeh, Sridhar Mahadevan
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
16 years 1 months ago
Using a distance metric to guide PSO algorithms for many-objective optimization
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for manyobjective problems. We use a particle swarm optimization (PSO) a...
Upali K. Wickramasinghe, Xiaodong Li
WWW
2007
ACM
16 years 7 months ago
Adaptive faceted browser for navigation in open information spaces
Open information spaces have several unique characteristics such as their changeability, large size, complexity and diverse user base. These result in novel challenges during user...
Mária Bieliková, Michal Tvarozek