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GECCO
2007
Springer
124views Optimization» more  GECCO 2007»
15 years 10 months ago
Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms
The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been teste...
Riccardo Poli, Leonardo Vanneschi
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 10 months ago
Multi-objective optimization tool for a free structure analog circuits design using genetic algorithms and incorporating parasit
This paper presents a novel approach for a free structure analog circuit design using Genetic Algorithms (GA). A major problem in a free structure circuit is its sensitivity calcu...
Yaser M. A. Khalifa, Badar K. Khan, Faisal Taha
CODES
2004
IEEE
15 years 10 months ago
A novel deadlock avoidance algorithm and its hardware implementation
This paper proposes a novel Deadlock Avoidance Algorithm (DAA) and its hardware implementation, the Deadlock Avoidance Unit (DAU), as an Intellectual Property (IP) core that provi...
Jaehwan Lee, Vincent John Mooney III
GECCO
2006
Springer
265views Optimization» more  GECCO 2006»
15 years 10 months ago
Cutting stock waste reduction using genetic algorithms
A new model for the One-dimensional Cutting Stock problem using Genetic Algorithms (GA) is developed to optimize construction steel bars waste. One-dimensional construction stocks...
Yaser M. A. Khalifa, O. Salem, A. Shahin
AAAI
2006
15 years 8 months ago
An Asymptotically Optimal Algorithm for the Max k-Armed Bandit Problem
We present an asymptotically optimal algorithm for the max variant of the k-armed bandit problem. Given a set of k slot machines, each yielding payoff from a fixed (but unknown) d...
Matthew J. Streeter, Stephen F. Smith