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EPS
1998
Springer
13 years 11 months ago
Evolving Heuristics for Planning
Abstract. In this paper we describe EvoCK, a new approach to the application of genetic programming (GP) to planning. This approach starts with a traditional AI planner (PRODIGY)an...
Ricardo Aler, Daniel Borrajo, Pedro Isasi
SFP
2000
13 years 9 months ago
Parallel heuristic search in Haskell
Abstract: Parallel heuristic search algorithms are widely used in artificial intelligence. This paper describes novel parallel variants of two standard sequential search algorithms...
Michelle Cope, Ian P. Gent, Kevin Hammond
ICCAD
2007
IEEE
98views Hardware» more  ICCAD 2007»
14 years 4 months ago
Device-circuit co-optimization for mixed-mode circuit design via geometric programming
Modern processing technologies offer a number of types of devices such as high-VT , low-VT , thick-oxide, etc. in addition to the nominal transistor in order to meet system perfor...
Jintae Kim, Ritesh Jhaveri, Jason Woo, Chih-Kong K...
PLDI
2012
ACM
11 years 10 months ago
The implicit calculus: a new foundation for generic programming
Generic programming (GP) is an increasingly important trend in programming languages. Well-known GP mechanisms, such as type classes and the C++0x concepts proposal, usually combi...
Bruno C. d. S. Oliveira, Tom Schrijvers, Wontae Ch...
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
14 years 29 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