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» Modeling GA Performance for Control Parameter Optimization
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GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
15 years 6 months ago
A Multi-objective Approach to Configuring Embedded System Architectures
Portable embedded systems are being driven by consumer demands to be thermally efficient, perform faster, and have longer battery life. To design such a system, various hardware un...
James Northern III, Michael A. Shanblatt
BMCBI
2006
146views more  BMCBI 2006»
15 years 1 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
ASC
2004
15 years 1 months ago
Solving nonconvex climate control problems: pitfalls and algorithm performances
Global optimization can be used as the main component for reliable decision support systems. In this contribution, we explore numerical solution techniques for nonconvex and nondi...
Carmen G. Moles, Julio R. Banga, Klaus Keller
CDC
2010
IEEE
109views Control Systems» more  CDC 2010»
14 years 8 months ago
On-line optimal timing control of switched systems
This paper considers a real-time algorithm for performance optimization of switched-mode hybrid dynamical systems. The controlled parameter consists of the switching times between ...
Yorai Wardi, Philip Twu, Magnus Egerstedt
GECCO
2006
Springer
155views Optimization» more  GECCO 2006»
15 years 5 months ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde