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CEC
2010
IEEE
13 years 6 months ago
A novel hybrid evolutionary strategy and its periodization with multi-objective genetic optimizers
— This work investigates the effects of the periodization of local and global multi-objective search algorithms. To this, we introduce a model for periodization and define a new...
Paul Kaufmann, Tobias Knieper, Marco Platzner
EAAI
2006
161views more  EAAI 2006»
13 years 7 months ago
Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
Type-2 fuzzy sets, which are characterized by membership functions (MFs) that are themselves fuzzy, have been attracting interest. This paper focuses on advancing the understandin...
Dongrui Wu, Woei Wan Tan
GECCO
2005
Springer
197views Optimization» more  GECCO 2005»
14 years 27 days ago
Breeding swarms: a GA/PSO hybrid
Abstract. In this paper we propose a novel hybrid (GA/PSO) algorithm, Breeding Swarm, combining the strengths of particle swarm optimization with genetic algorithms. The hybrid alg...
Matthew Settles, Terence Soule
EUROGP
2007
Springer
14 years 1 months ago
The Holland Broadcast Language and the Modeling of Biochemical Networks
Abstract. The Broadcast Language is a programming formalism devised by Holland in 1975, which aims at improving the efficiency of Genetic Algorithms (GAs) during long-term evolutio...
James Decraene, George G. Mitchell, Barry McMullin...
JSS
2008
122views more  JSS 2008»
13 years 5 months ago
Traffic-aware stress testing of distributed real-time systems based on UML models using genetic algorithms
This report presents a model-driven, stress test methodology aimed at increasing chances of discovering faults related to network traffic in Distributed Real-Time Systems (DRTS). T...
Vahid Garousi, Lionel C. Briand, Yvan Labiche