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» Evolutionary multiobjective optimization
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GECCO
2005
Springer
145views Optimization» more  GECCO 2005»
15 years 10 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
2005
Springer
125views Optimization» more  GECCO 2005»
15 years 10 months ago
Improving EA-based design space exploration by utilizing symbolic feasibility tests
This paper will propose a novel approach in combining Evolutionary Algorithms with symbolic techniques in order to improve the convergence of the algorithm in the presence of larg...
Thomas Schlichter, Christian Haubelt, Jürgen ...
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 10 months ago
Collaborative interactive evolution
Interactive evolutionary computation (IEC) has proven useful in a variety of applications by combining the subjective evaluation of a user with the massive parallel search power o...
Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 10 months ago
Search space modulation in genetic algorithms: evolving the search space by sinusoidal transformations
An experimental form of Modulation (Reinterpretation) of the Search Space is presented. This modulation is developed as a mathematical method that can be implemented directly into...
José Antonio Martin H.
CEC
2009
IEEE
15 years 12 months ago
The Differential Ant-Stigmergy Algorithm applied to dynamic optimization problems
— Many real-world problems are dynamic, requiring an optimization algorithm which is able to continuously track a changing optimum over time. In this paper, we present a stigmerg...
Peter Korosec, Jurij Silc