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» Optimizing for Reduced Code Space using Genetic Algorithms
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LCTRTS
1999
Springer
13 years 9 months ago
Optimizing for Reduced Code Space using Genetic Algorithms
Code space is a critical issue facing designers of software for embedded systems. Many traditional compiler optimizations are designed to reduce the execution time of compiled cod...
Keith D. Cooper, Philip J. Schielke, Devika Subram...
AIR
1998
103views more  AIR 1998»
13 years 4 months ago
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Abstract. Genetic algorithms play a significant role, as search techniques for handling complex spaces, in many fields such as artificial intelligence, engineering, robotic, etc...
Francisco Herrera, Manuel Lozano, José L. V...
GECCO
2000
Springer
13 years 8 months ago
Sampling Bias and Search Space Boundary Extension in Real Coded Genetic Algorithms
In Real coded genetic algorithms, some crossover operators do not work well on functions which have their optimum at the corner of the search space. To cope with this problem, we ...
Shigeyoshi Tsutsui
GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
13 years 8 months ago
Solving identification problem for asynchronous finite state machines using genetic algorithms
A Genetic Algorithm, embedded in a simulation-based method, is applied to the identification of Asynchronous Finite State Machines. Two different coding schemes and their associat...
Xiaojun Geng