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CEC
2009
IEEE
14 years 2 months ago
Semantically driven mutation in genetic programming
—Using semantic analysis, we present a technique known as semantically driven mutation which can explicitly detect and apply behavioural changes caused by the syntactic changes i...
Lawrence Beadle, Colin G. Johnson
EUROGP
2005
Springer
103views Optimization» more  EUROGP 2005»
14 years 1 months ago
GP-EndChess: Using Genetic Programming to Evolve Chess Endgame Players
We apply genetic programming to the evolution of strategies for playing chess endgames. Our evolved programs are able to draw or win against an expert human-based strategy, and dra...
Ami Hauptman, Moshe Sipper
IFL
2000
Springer
135views Formal Methods» more  IFL 2000»
13 years 11 months ago
Freja, Hat and Hood - A Comparative Evaluation of Three Systems for Tracing and Debugging Lazy Functional Programs
Abstract. In this paper we compare three systems for tracing and debugging Haskell programs: Freja, Hat and Hood. We evaluate their usefulness in practice by applying them to a num...
Olaf Chitil, Colin Runciman, Malcolm Wallace
PEPM
1995
ACM
13 years 11 months ago
Caching Intermediate Results for Program Improvement
A systematic approach is given for symbolically caching intermediate results useful for deriving incremental programs from non-incremental programs. Our method can be applied stra...
Yanhong A. Liu, Tim Teitelbaum
ICCS
2007
Springer
14 years 2 months ago
On the Virtues of Generic Programming for Symbolic Computation
The purpose of this study is to measure the impact of C level code polynomial arithmetic on the performances of AXIOM highlevel algorithms, such as polynomial factorization. More p...
Xin Li, Marc Moreno Maza, Éric Schost