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GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
14 years 2 months ago
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, ...
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
14 years 20 days ago
A unified optimization framework for microelectronics industry
In this paper, an object-oriented unified optimization framework (UOF) for general problem optimization is proposed. Based on evolutionary algorithms, numerical deterministic meth...
Yiming Li, Cheng-Kai Chen, Yen-Yu Cho
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 1 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
14 years 20 days ago
Autonomous evolutionary music composer
A second-generation autonomous music composition tool is developed using Genetic Algorithms. The composition is conducted in two Stages. The first Stage generates and identifies m...
Yaser M. A. Khalifa, Mohamed Basel Al-Mourad
GECCO
2005
Springer
145views Optimization» more  GECCO 2005»
14 years 2 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