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125
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AIPS
2008
15 years 4 months ago
Stochastic Enforced Hill-Climbing
Enforced hill-climbing is an effective deterministic hillclimbing technique that deals with local optima using breadth-first search (a process called "basin flooding"). ...
Jia-Hong Wu, Rajesh Kalyanam, Robert Givan
110
Voted
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
15 years 7 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
95
Voted
ICCD
1997
IEEE
78views Hardware» more  ICCD 1997»
15 years 6 months ago
Speeding up Variable Reordering of OBDDs
In this paper, we suggest a block-restricted sifting strategy which is based on the restriction of Rudell's sifting to certain blocks of variables. The application of this st...
Christoph Meinel, Anna Slobodová
126
Voted
NETWORKING
2004
15 years 3 months ago
Multi-objective Egress Router Selection Policies for Inter-domain Traffic with Bandwidth Guarantees
The next generation Internet is designed to accommodate flows that span across multiple domains with quality of service guarantees, in particular bandwidth. In this context, destin...
Kin-Hon Ho, Ning Wang, Panos Trimintzios, George P...
132
Voted
SCALESPACE
2005
Springer
15 years 7 months ago
Multiscale Active Contours
Abstract. In this paper, we propose an evolution equation for the active contours in scale spaces. This evolution equation is based on the Polyakov functional that has been first ...
Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...