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GECCO
2005
Springer
15 years 3 months ago
2005
Springer
We present discrete stochastic mathematical models for the growth curves of synchronous and asynchronous evolutionary algorithms with populations structured according to a random ...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
The purpose of this project is to develop a program that solves a bi-objective diet problem to propose the user a “healthy” daily meal according to some parameters specified b...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
A commonly experienced problem with population based optimisation methods is the gradual decline in population diversity that tends to occur over time. This can slow a system’s ...