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IPPS
2005
IEEE
15 years 3 months ago
A Cellular Multi-Objective Genetic Algorithm for Optimal Broadcasting Strategy in Metropolitan MANETs
Mobile Ad-hoc Networks (MANETs) are composed of a set of communicating devices which are able to spontaneously interconnect without any pre-existing infrastructure. In such scenar...
Enrique Alba, Bernabé Dorronsoro, Francisco...
AIR
2002
165views more  AIR 2002»
14 years 9 months ago
Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons
The rapid advances of evolutionary methods for multi-objective (MO) optimization poses the difficulty of keeping track of the developments in this field as well as selecting an app...
Kay Chen Tan, Tong Heng Lee, Eik Fun Khor
89
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CEC
2009
IEEE
15 years 4 months ago
Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems
— In this paper, the performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on a set of bound-constrained synthetic test problems is reported. The hybr...
Santosh Tiwari, Georges Fadel, Patrick Koch, Kalya...
INTEGRATION
2010
172views more  INTEGRATION 2010»
14 years 8 months ago
Analog circuits optimization based on evolutionary computation techniques
1 — This paper presents a new design automation tool based on a modified genetic algorithm kernel, in order to increase efficiency on the analog circuit and system design cycle. ...
Manuel F. M. Barros, Jorge Guilherme, Nuno Horta
GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 3 months ago
Using predators and preys in evolution strategies
This poster presents an evolution strategy for single- and multi-objective optimization. The model uses the predatorprey approach from ecology to scale between both cases. Further...
Karlheinz Schmitt, Jörn Mehnen, Thomas Michel...