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GECCO
2007
Springer
157views Optimization» more  GECCO 2007»
15 years 6 months ago
Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover
Multiobjective optimization problems with many local Pareto fronts is a big challenge to evolutionary algorithms. In this paper, two operators, biased initialization and biased cr...
Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sen...
ESCIENCE
2006
IEEE
15 years 6 months ago
Niching for Population-Based Ant Colony Optimization
Most Ant Colony Optimization (ACO) algorithms are able to find a single (or few) optimal, or near-optimal, solutions to difficult (NP-hard) problems. An issue though is that a s...
Daniel Angus
AAMAS
2005
Springer
15 years 5 months ago
Evolving the Game of Life
It is difficult to define a set of rules for a cellular automaton (CA) such that creatures with life-like properties (stability and dynamic behaviour, reproducton and self-repai...
Dimitar Kazakov, Matthew Sweet
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
15 years 5 months ago
EA models and population fixed-points versus mutation rates for functions of unitation
Using a dynamic systems model for the Simple Genetic Algorithm due to Vose[1], we analyze the fixed point behavior of the model without crossover applied to functions of unitation...
J. Neal Richter, John Paxton, Alden H. Wright
GECCO
2003
Springer
15 years 5 months ago
Selection in the Presence of Noise
For noisy optimization problems, there is generally a trade-off between the effort spent to reduce the noise (in order to allow the optimization algorithm to run properly), and t...
Jürgen Branke, Christian Schmidt 0002