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» Evolutionary multiobjective optimization
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GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
15 years 11 months ago
Rigorous analyses of simple diversity mechanisms
It is widely assumed and observed in experiments that the use of diversity mechanisms in evolutionary algorithms may have a great impact on its running time. Up to now there is no...
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 11 months ago
Discovering event evidence amid massive, dynamic datasets
Automated event extraction remains a very difficult challenge requiring information analysts to manually identify key events of interest within massive, dynamic data. Many techniq...
Robert M. Patton, Thomas E. Potok
GECCO
2007
Springer
191views Optimization» more  GECCO 2007»
15 years 11 months ago
A biologically inspired solution for an evolved simulated agent
Biologically inspired designs can improve the design of artificial agents. In this paper we explain and explore the role of directional light sensors from an Evolutionary Robotic...
Edgar Bermudez Contreras
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 11 months ago
Supporting free-form design using a component based representation: an overview
This paper reviews the development of an interactive evolutionary design system (IEDS) for conceptual design, which integrates an agent based ‘build and evolve’ approach with ...
Azahar T. Machwe, Ian C. Parmee
ESCIENCE
2006
IEEE
15 years 11 months ago
An Extended Extremal Optimisation Model for Parallel Architectures
: A relatively new meta-heuristic, known as extremal optimisation (EO), is based on the evolutionary science notion that poorly performing genes of an individual are replaced by ra...
Marcus Randall, Andrew Lewis