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» Map-labelling with a multi-objective evolutionary algorithm
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EMO
2005
Springer
123views Optimization» more  EMO 2005»
14 years 27 days ago
Initial Population Construction for Convergence Improvement of MOEAs
Nearly all Multi-Objective Evolutionary Algorithms (MOEA) rely on random generation of initial population. In large and complex search spaces, this random method often leads to an ...
Christian Haubelt, Jürgen Gamenik, Jürge...
DSD
2011
IEEE
194views Hardware» more  DSD 2011»
12 years 7 months ago
Reliability-Aware Design Optimization for Multiprocessor Embedded Systems
—This paper presents an approach for the reliability-aware design optimization of real-time systems on multi-processor platforms. The optimization is based on an extension of wel...
Jia Huang, Jan Olaf Blech, Andreas Raabe, Christia...
ADHOCNETS
2009
Springer
14 years 20 hour ago
Power-Aware Intrusion Detection in Mobile Ad Hoc Networks
Mobile ad hoc networks (MANETs) are a highly promising new form of networking. However they are more vulnerable to attacks than wired networks. In addition, conventional intrusion ...
Sevil Sen, John A. Clark, Juan E. Tapiador
GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
14 years 27 days ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
GECCO
2010
Springer
178views Optimization» more  GECCO 2010»
14 years 5 days ago
Crossing the reality gap in evolutionary robotics by promoting transferable controllers
The reality gap, that often makes controllers evolved in simulation inefficient once transferred onto the real system, remains a critical issue in Evolutionary Robotics (ER); it p...
Sylvain Koos, Jean-Baptiste Mouret, Stéphan...