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» Evolutionary Computation for Modeling and Optimization
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GECCO
2005
Springer
148views Optimization» more  GECCO 2005»
13 years 11 months ago
An analysis of island models in evolutionary computation
A need for solving more and more complex problems drives the Evolutionary Computation community towards advanced models of Evolutionary Algorithms. One such model is the island mo...
Zbigniew Skolicki
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
13 years 10 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
2004
Springer
132views Optimization» more  GECCO 2004»
13 years 11 months ago
Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model
This paper proposes a new niching method named hierarchical niching, which combines spatial niching in search space and a continuous temporal niching concept. The method is natural...
Jianjun Hu, Erik D. Goodman
FCCM
2005
IEEE
124views VLSI» more  FCCM 2005»
13 years 12 months ago
Parallel Hardware Implementation of Cellular Learning Automata Based Evolutionary Computing (CLA-EC) on FPGA
The CLA-EC is a model obtained by combining the concepts of cellular learning automata and evolutionary algorithms. The parallel structure of the CLA-EC makes it suitable for hard...
Arash Hariri, Reza Rastegar, Morteza Saheb Zamani,...
CCE
2005
13 years 6 months ago
Interactive evolutionary computation in process engineering
In practical system identification, process optimization and controller design, it is often desirable to simultaneously handle several objectives and constraints. In some cases, t...
János Madár, János Abonyi, Fe...