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GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
16 years 4 days 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
STOC
2004
ACM
134views Algorithms» more  STOC 2004»
16 years 7 months ago
Approximate max-integral-flow/min-multicut theorems
We establish several approximate max-integral-flow / minmulticut theorems. While in general this ratio can be very large, we prove strong approximation ratios in the case where th...
Kenji Obata
INFOCOM
2006
IEEE
16 years 24 days ago
On Heterogeneous Overlay Construction and Random Node Selection in Unstructured P2P Networks
— Unstructured p2p and overlay network applications often require that a random graph be constructed, and that some form of random node selection take place over that graph. A ke...
Vivek Vishnumurthy, Paul Francis
ICRA
1999
IEEE
138views Robotics» more  ICRA 1999»
15 years 11 months ago
Efficient Topological Exploration
We consider the robot exploration of a planar graphlike world. The robot's goal is to build a complete map of its environment. The environment is modeled as an arbitrary undi...
Ioannis M. Rekleitis, Vida Dujmovic, Gregory Dudek
COCOON
2005
Springer
15 years 8 months ago
A New Approach and Faster Exact Methods for the Maximum Common Subgraph Problem
The Maximum Common Subgraph (MCS) problem appears in many guises and in a wide variety of applications. The usual goal is to take as inputs two graphs, of order m and n, respectiv...
W. Henry Suters, Faisal N. Abu-Khzam, Yun Zhang, C...