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GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
14 years 1 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace
GECCO
2006
Springer
116views Optimization» more  GECCO 2006»
14 years 1 months ago
A crossover for complex building blocks overlapping
We propose a crossover method to combine complexly overlapping building blocks (BBs). Although there have been several techniques to identify linkage sets of loci o form a BB [4, ...
Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
14 years 1 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski
GECCO
2010
Springer
214views Optimization» more  GECCO 2010»
14 years 1 months ago
Mixed-integer evolution strategy using multiobjective selection applied to warehouse design optimization
This paper reports about the application of a new variant of multiobjective Mixed-Integer Evolution Strategy to a warehouse design optimization problem. The algorithm is able to d...
Edgar Reehuis, Thomas Bäck
AAAI
2008
14 years 3 days ago
Towards Faster Planning with Continuous Resources in Stochastic Domains
Agents often have to construct plans that obey resource limits for continuous resources whose consumption can only be characterized by probability distributions. While Markov Deci...
Janusz Marecki, Milind Tambe