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IJIT
2004
13 years 11 months ago
Synthesis of Logic Circuits Using Fractional-Order Dynamic Fitness Functions
This paper analyses the performance of a genetic algorithm using a new concept, namely a fractional-order dynamic fitness function, for the synthesis of combinational logic circuit...
Cecília Reis, José António Te...
EOR
2002
125views more  EOR 2002»
13 years 10 months ago
Genetic local search for multi-objective combinatorial optimization
The paper presents a new genetic local search algorithm for multi-objective combinatorial optimization. The goal of the algorithm is to generate in a short time a set of approxima...
Andrzej Jaszkiewicz
ROBOCUP
1997
Springer
134views Robotics» more  ROBOCUP 1997»
14 years 2 months ago
Co-evolving Soccer Softbot Team Coordination with Genetic Programming
In this paper we explain how we applied genetic programming to behavior-based team coordination in the RoboCup Soccer Server domain. Genetic programming is a promising new method f...
Sean Luke, Charles Hohn, Jonathan Farris, Gary Jac...
GECCO
2004
Springer
14 years 3 months ago
The Royal Road Not Taken: A Re-examination of the Reasons for GA Failure on R1
Previous work investigating the performance of genetic algorithms (GAs) has attempted to develop a set of fitness landscapes, called “Royal Roads” functions, which should be id...
Brian Howard, John Sheppard
EUROGP
2008
Springer
137views Optimization» more  EUROGP 2008»
14 years 5 days ago
A Comparison of Cartesian Genetic Programming and Linear Genetic Programming
Two prominent genetic programming approaches are the graph-based Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP). Recently, a formal algorithm for construc...
Garnett Carl Wilson, Wolfgang Banzhaf