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GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
15 years 8 months ago
An efficient multi-objective evolutionary algorithm with steady-state replacement model
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
Dipti Srinivasan, Lily Rachmawati
ECML
2007
Springer
15 years 6 months ago
Sequence Labeling with Reinforcement Learning and Ranking Algorithms
Many problems in areas such as Natural Language Processing, Information Retrieval, or Bioinformatic involve the generic task of sequence labeling. In many cases, the aim is to assi...
Francis Maes, Ludovic Denoyer, Patrick Gallinari
AAAI
2006
15 years 5 months ago
Overlapping Coalition Formation for Efficient Data Fusion in Multi-Sensor Networks
This paper develops new algorithms for coalition formation within multi-sensor networks tasked with performing widearea surveillance. Specifically, we cast this application as an ...
Viet Dung Dang, Rajdeep K. Dash, Alex Rogers, Nich...
IJAIT
2002
81views more  IJAIT 2002»
15 years 4 months ago
Guiding Constructive Search with Statistical Instance-Based Learning
Several real world applications involve solving combinatorial optimization problems. Commonly, existing heuristic approaches are designed to address specific difficulties of the u...
Orestis Telelis, Panagiotis Stamatopoulos
INFOCOM
2010
IEEE
15 years 2 months ago
Capacity Region of a Wireless Mesh Backhaul Network over the CSMA/CA MAC
—This paper studies the maximum throughput that can be supported by a given wireless mesh backhaul network, over a practical CSMA/CA medium access control (MAC) protocol. We reso...
Yu Cheng, Hongkun Li, Peng-Jun Wan, Xinbing Wang