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EVOW
2004
Springer
14 years 2 months ago
Multi-objective Sensor Planning for Efficient and Accurate Object Reconstruction
A novel approach for sensor planning, which incorporates multi-objective optimization principals into the autonomous design of sensing strategies, is presented. The study addresses...
Enrique Dunn, Gustavo Olague
CEC
2007
IEEE
13 years 10 months ago
Designing memetic algorithms for real-world applications using self-imposed constraints
— Memetic algorithms (MAs) combine the global exploration abilities of evolutionary algorithms with a local search to further improve the solutions. While a neighborhood can be e...
Thomas Michelitsch, Tobias Wagner, Dirk Biermann, ...
RTS
2006
132views more  RTS 2006»
13 years 10 months ago
A framework for modular analysis and exploration of heterogeneous embedded systems
Abstract The increasing complexity of heterogeneous systems-on-chip, SoC, and distributed embedded systems makes system optimization and exploration a challenging task. Ideally, a ...
Arne Hamann, Marek Jersak, Kai Richter, Rolf Ernst
GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
13 years 11 months ago
Optinformatics for schema analysis of binary genetic algorithms
Given the importance of optimization and informatics which are the two broad fields of research, we present an instance of Optinformatics which denotes the specialization of info...
Minh Nghia Le, Yew-Soon Ong, Quang Huy Nguyen 0001
ICCD
1999
IEEE
130views Hardware» more  ICCD 1999»
14 years 2 months ago
Preference-Driven Hierarchical Hardware/Software Partitioning
In this paper, we present a hierarchical evolutionary approach to hardware/software partitioning for real-time embedded systems. In contrast to most of previous approaches, we app...
Gang Quan, Xiaobo Hu, Garrison W. Greenwood