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» On the Brittleness of Evolutionary Algorithms
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GECCO
2005
Springer
145views Optimization» more  GECCO 2005»
15 years 12 months ago
Evolving an ecology of two-tiered organizations
Evolutionary models typically rely on a single level of evolution for training a team of cooperating agents. I present a model that evolves at two levels—an “organizational”...
Travis Kriplean
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
15 years 11 months ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
EVOW
2006
Springer
15 years 10 months ago
Supervised Genetic Search for Parameter Selection in Painterly Rendering
This paper investigates the feasibility of evolutionary search techniques as a mechanism for interactively exploring the design space of 2D painterly renderings. Although a growing...
John P. Collomosse
WWW
2009
ACM
16 years 7 months ago
Extracting article text from the web with maximum subsequence segmentation
Much of the information on the Web is found in articles from online news outlets, magazines, encyclopedias, review collections, and other sources. However, extracting this content...
Jeff Pasternack, Dan Roth
WCRE
1995
IEEE
15 years 10 months ago
Pattern Matching for Design Concept Localization
A legacy system is an operational, large-scale software system that is maintained beyond its first generation of programmers. It typically represents a massive economic investmen...
Kostas Kontogiannis, Renato de Mori, Morris Bernst...