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EMO
2006
Springer
219views Optimization» more  EMO 2006»
15 years 10 months ago
ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization
Abstract. This paper presents ParadisEO-MOEO, a white-box objectoriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms. This paradig...
Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourd...
CIMAGING
2010
202views Hardware» more  CIMAGING 2010»
15 years 7 months ago
An optimal algorithm for reconstructing images from binary measurements
We have studied a camera with a very large number of binary pixels referred to as the gigavision camera [1] or the gigapixel digital film camera [2, 3]. Potential advantages of th...
Feng Yang, Yue M. Lu, Luciano Sbaiz, Martin Vetter...
IJCAI
2001
15 years 7 months ago
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Ronen I. Brafman, Moshe Tennenholtz
APSCC
2007
IEEE
15 years 6 months ago
Joint Sink Mobility and Data Diffusion for Lifetime Optimization in Wireless Sensor Networks
Abstract— In this paper, we address the problem of lifetime optimization under storage constraint for wireless sensor networks with a mobile sink node. The problem is particularl...
Yu Gu, Hengchang Liu, Fei Song, Baohua Zhao
MANSCI
2007
139views more  MANSCI 2007»
15 years 6 months ago
A Market-Based Optimization Algorithm for Distributed Systems
In this paper, a market-based decomposition method for decomposable linear systems is developed. The solution process iterates between a master problem that solves the market-matc...
Zhiling Guo, Gary J. Koehler, Andrew B. Whinston