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GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
14 years 3 months ago
Why evolution is not a good paradigm for program induction: a critique of genetic programming
We revisit the roots of Genetic Programming (i.e. Natural Evolution), and conclude that the mechanisms of the process of evolution (i.e. selection, inheritance and variation) are ...
John R. Woodward, Ruibin Bai
ACRI
2006
Springer
14 years 2 months ago
Optimal 6-State Algorithms for the Behavior of Several Moving Creatures
The goal of our investigation is to find automatically the absolutely best rule for a moving creature in a cellular field. The task of the creature is to visit all empty cells wi...
Mathias Halbach, Rolf Hoffmann, Lars Both
AIIDE
2007
13 years 10 months ago
Automatic Design of Balanced Board Games
AI techniques are already widely used in game software to provide computer-controlled opponents for human players. However, game design is a more-challenging problem than game pla...
Joe Marks, Vincent Hom
CEC
2007
IEEE
14 years 14 days ago
Development and validation of different hybridization strategies between GA and PSO
In this paper a new class of hybridization strategies between GA and PSO is presented and validated. The Genetical Swarm Optimization (GSO) approach is presented here with respect ...
A. Gandelli, F. Grimaccia, Marco Mussetta, Paola P...
GECCO
2004
Springer
112views Optimization» more  GECCO 2004»
14 years 1 months ago
Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization
This paper discusses the implementation of local search in evolutionary multiobjective optimization (EMO) algorithms for the design of a simple but powerful memetic EMO algorithm. ...
Hisao Ishibuchi, Kaname Narukawa