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ASPDAC
1999
ACM
157views Hardware» more  ASPDAC 1999»
14 years 5 days ago
A Genetic Algorithm based Approach for Multi-Objective Data-Flow Graph Optimization
: This paper presents a genetic algorithm based approach for algebraic optimization of behavioral system specifications. We introduce a chromosomal representation of data-flow gr...
Birger Landwehr
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
13 years 11 months ago
Heterogeneous cooperative coevolution: strategies of integration between GP and GA
Cooperative coevolution has proven to be a promising technique for solving complex combinatorial optimization problems. In this paper, we present four different strategies which i...
Leonardo Vanneschi, Giancarlo Mauri, Andrea Valsec...
GECCO
2000
Springer
108views Optimization» more  GECCO 2000»
13 years 11 months ago
Hierarchical Problem Solving and the Bayesian Optimization Algorithm
The paper discusses three major issues. First, it discusses why it makes sense to approach problems in a hierarchical fashion. It de nes the class of hierarchically decomposable f...
Martin Pelikan, David E. Goldberg
CORR
2010
Springer
427views Education» more  CORR 2010»
13 years 6 months ago
A Comparison between Memetic algorithm and Genetic algorithm for the cryptanalysis of Simplified Data Encryption Standard algori
Genetic algorithms are a population-based Meta heuristics. They have been successfully applied to many optimization problems. However, premature convergence is an inherent charact...
Poonam Garg
SETN
2010
Springer
13 years 11 months ago
Genetic Algorithm Solution to Optimal Sizing Problem of Small Autonomous Hybrid Power Systems
The optimal sizing of a small autonomous hybrid power system can be a very challenging task, due to the large number of design settings and the uncertainty in key parameters. This ...
Yiannis A. Katsigiannis, Pavlos S. Georgilakis, Em...