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168
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NCA
2008
IEEE
15 years 2 months ago
Neurodynamic programming: a case study of the traveling salesman problem
The paper focuses on the study of solving the large-scale traveling salesman problem (TSP) based on neurodynamic programming. From this perspective, two methods, temporal differenc...
Jia Ma, Tao Yang, Zeng-Guang Hou, Min Tan, Derong ...
GPEM
2011
14 years 10 months ago
Expert-driven genetic algorithms for simulating evaluation functions
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an appropr...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...
CP
1999
Springer
15 years 7 months ago
Search Procedures and Parallelism in Constraint Programming
Abstract. In this paper, we present a major improvement in the search procedures in constraint programming. First, we integrate various search procedures from AI and OR. Second, we...
Laurent Perron
PPOPP
1995
ACM
15 years 6 months ago
A Model and Compilation Strategy for Out-of-Core Data Parallel Programs
It is widely acknowledged in high-performance computing circles that parallel input/output needs substantial improvement in order to make scalable computers truly usable. We prese...
Rajesh Bordawekar, Alok N. Choudhary, Ken Kennedy,...
124
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EOR
2006
65views more  EOR 2006»
15 years 2 months ago
Dynamic programming and minimum risk paths
: This paper addresses the problem of computing minimum risk paths by taking as objective the expected accident cost. The computation is based on a dynamic programming formulation ...
Paolo Serafini