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» Genetic Programming Applied to Mixed Integer Programming
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86
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DGCI
2003
Springer
15 years 2 months ago
Stability in Discrete Tomography: Linear Programming, Additivity and Convexity
The problem of reconstructing finite subsets of the integer lattice from X-rays has been studied in discrete mathematics and applied in several fields like image processing, data...
Sara Brunetti, Alain Daurat
DAC
2006
ACM
15 years 10 months ago
Simultaneous time slack budgeting and retiming for dual-Vdd FPGA power reduction
Field programmable dual-Vdd interconnects are effective to reduce FPGA power. Assuming uniform length interconnects, existing work has developed time slack budgeting to minimize p...
Yu Hu, Yan Lin, Lei He, Tim Tuan
ICCS
2004
Springer
15 years 2 months ago
Designing Digital Circuits for the Knapsack Problem
Abstract. Multi Expression Programming (MEP) is a Genetic Programming variant that uses linear chromosomes for solution encoding. A unique feature of MEP is its ability of encoding...
Mihai Oltean, Crina Grosan, Mihaela Oltean
70
Voted
EUROGP
2005
Springer
103views Optimization» more  EUROGP 2005»
15 years 3 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
EVOW
1994
Springer
15 years 1 months ago
Genetic Approaches to Learning Recursive Relations
The genetic programming (GP) paradigm is a new approach to inductively forming programs that describe a particular problem. The use of natural selection based on a fitness ]unction...
Peter A. Whigham, Robert I. McKay