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TEC
2008
98views more  TEC 2008»
13 years 8 months ago
A Fast Incremental Hypervolume Algorithm
When hypervolume is used as part of the selection or archiving process in a multiobjective evolutionary algorithm, it is necessary to determine which solutions contribute the least...
Lucas Bradstreet, R. Lyndon While, Luigi Barone
ICANN
2010
Springer
13 years 6 months ago
Time Series Forecasting by Evolving Artificial Neural Networks Using "Shuffle", Cross-Validation and Ensembles
Accurate time series forecasting are important for several business, research, and application of engineering systems. Evolutionary Neural Networks are particularly appealing becau...
Juan Peralta, Germán Gutiérrez, Arac...
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 10 months ago
Solving constrained multi-objective problems by objective space analysis
In this paper a new approach to solve constrained multi-objective problems by way of evolutionary multi-objective optimization is introduced. In contrast to former evolutionary ap...
Gideon Avigad, Carlos A. Coello Coello
RE
2001
Springer
14 years 1 months ago
Evolving Beyond Requirements Creep: A Risk-Based Evolutionary Prototyping Model
Evolutionary prototyping focuses on gathering a correct and consistent set of requirements. The process lends particular strength to building quality software by means of the ongo...
Ryan A. Carter, Annie I. Antón, Laurie A. W...
ICAI
2004
13 years 10 months ago
A User Centered Evolutionary Scheduling Framework
The need for supporting CSCW applications with heterogeneous and varying user requirements call for adaptive and reconfigurable schedulers accommodating a mixture of real-time, pro...
Horst Wedde, Muddassar Farooq, Mario Lischka