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JUCS
2006
112views more  JUCS 2006»
13 years 7 months ago
A Multi-objective Genetic Approach to Mapping Problem on Network-on-Chip
Abstract: Advances in technology now make it possible to integrate hundreds of cores (e.g. general or special purpose processors, embedded memories, application specific components...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 1 months ago
COSMO: a correlation sensitive mutation operator for multi-objective optimization
This contribution is the first to discover exploitable structural features within circuit optimization problems (COP) and discuss how it is indicative of a general structure and ...
Varun Aggarwal, Una-May O'Reilly
EMO
2006
Springer
170views Optimization» more  EMO 2006»
13 years 11 months ago
Robust Multi-Objective Optimization in High Dimensional Spaces
1 In most real world optimization problems several optimization goals have to be considered in parallel. For this reason, there has been a growing interest in Multi-Objective Optim...
André Sülflow, Nicole Drechsler, Rolf ...
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
14 years 27 days ago
Evolutionary computation methods for synchronization of effects based operations
Effects based operations (EBO) is a concept based on the premise that a desired strategic outcome can be achieved through synergistic, multiplicative, and cumulative application ...
Jeffrey P. Ridder
EMO
2005
Springer
194views Optimization» more  EMO 2005»
14 years 27 days ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks