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GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 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
2006
Springer
135views Optimization» more  GECCO 2006»
15 years 1 months ago
A tree-based genetic algorithm for building rectilinear Steiner arborescences
A rectilinear Steiner arborescence (RSA) is a tree, whose nodes include a prescribed set of points, termed the vertices, in the first quadrant of the Cartesian plane, and whose tr...
William A. Greene
GECCO
2006
Springer
15 years 1 months ago
Dominance hierarchies and social diversity in multi-agent systems
In this study, we investigate self-organizing social hierarchies in multi-agent systems. Agents occupy the nodes of a smallworld network and interact exclusively with other agents...
Michael Kirley
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
15 years 1 months ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
15 years 1 months ago
The Baldwin effect under spatial isolation and autonomous reproduction
The impact of learning on evolution in dynamic environments undergoes recognized stages of the Baldwin Effect although its cause is not clear. To identify it experimentally, we de...
H. L. Peng, J. C. Tay