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» Techniques for Optimization of Net Algorithms
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AI
2002
Springer
14 years 9 months ago
Programming backgammon using self-teaching neural nets
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...
Gerald Tesauro
CPAIOR
2008
Springer
14 years 11 months ago
Gap Reduction Techniques for Online Stochastic Project Scheduling
Anticipatory algorithms for online stochastic optimization have been shown very effective in a variety of areas, including logistics, reservation systems, and scheduling. For such ...
Grégoire Dooms, Pascal Van Hentenryck
GECCO
2003
Springer
155views Optimization» more  GECCO 2003»
15 years 2 months ago
Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization
Abstract. This paper introduces a new technique called adaptive elitistpopulation search method for allowing unimodal function optimization methods to be extended to efficiently lo...
Kwong-Sak Leung, Yong Liang
DAC
1999
ACM
15 years 10 months ago
Synthesis of Embedded Software Using Free-Choice Petri Nets
Software synthesis from a concurrent functional specification is a key problem in the design of embedded systems. A concurrent specification is well-suited for medium-grained part...
Marco Sgroi, Luciano Lavagno
ASPDAC
2007
ACM
96views Hardware» more  ASPDAC 2007»
15 years 1 months ago
A Novel Performance-Driven Topology Design Algorithm
This paper presents a very efficient algorithm for performance-driven topology design for interconnects. Given a net, it first generates A-tree1 topology using table lookup and net...
Min Pan, Chris C. N. Chu, Priyadarshan Patra