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» Comparing evolutionary algorithms to the (1 1)-EA
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PPAM
2007
Springer
14 years 1 months ago
A Cost-Benefit-Based Adaptation Scheme for Multimeme Algorithms
Abstract. Memetic Algorithms are the most frequently used hybrid of Evolutionary Algorithms (EA) for real-world applications. This paper will deal with one of the most important ob...
Wilfried Jakob
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
13 years 11 months ago
Adaptively choosing niching parameters in a PSO
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...
Stefan Bird, Xiaodong Li
EVOW
2001
Springer
13 years 12 months ago
ARPIA: A High-Level Evolutionary Test Signal Generator
The integrated circuits design flow is rapidly moving towards higher description levels. However, test-related activities are lacking behind this trend, mainly since effective faul...
Fulvio Corno, Gianluca Cumani, Matteo Sonza Reorda...
GECCO
2005
Springer
122views Optimization» more  GECCO 2005»
14 years 27 days ago
An enhanced GA to improve the search process reliability in tuning of control systems
Evolutionary Algorithms (EAs) have been largely applied to optimisation and synthesis of controllers. In spite of several successful applications and competitive solutions, the st...
Andrea Soltoggio
GECCO
2004
Springer
179views Optimization» more  GECCO 2004»
14 years 22 days ago
An Evolutionary Meta Hierarchical Scheduler for the Linux Operating System
Abstract. The need for supporting CSCW applications with heterogeneous and varying user requirements calls for adaptive and reconfigurable schedulers accommodating a mixture of re...
Horst Wedde, Muddassar Farooq, Mario Lischka