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CEC
2009
IEEE
13 years 11 months ago
A dynamic artificial immune algorithm applied to challenging benchmarking problems
Abstract-- In many real-world scenarios, in contrast to standard benchmark optimization problems, we may face some uncertainties regarding the objective function. One source of the...
Fabrício Olivetti de França, Fernand...
IPPS
2003
IEEE
14 years 23 days ago
Parallel LAN/WAN Heuristics for Optimization
We present in this work a wide spectrum of results on analyzing the behavior of parallel heuristics for solving optimization problems. We focus on evolutionary algorithms as well ...
Enrique Alba, Gabriel Luque
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
14 years 26 days ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
IFIPTCS
2000
13 years 11 months ago
Masaccio: A Formal Model for Embedded Components
Masaccio is a formal model for hybrid dynamical systems which are built from atomic discrete components (di erence equations) and atomic continuous components (di erential equation...
Thomas A. Henzinger
IPPS
2007
IEEE
14 years 1 months ago
Parallel Processing for Multi-objective Optimization in Dynamic Environments
This paper deals with the use of parallel processing for multi-objective optimization in applications in which the objective functions, the restrictions, and hence also the soluti...
Mario Cámara, Julio Ortega, Francisco de To...