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IWANN
2001
Springer
15 years 7 months ago
A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA)
This paper looks upon the standard genetic algorithm as an artificial self-organizing process. With the purpose to provide concepts that make the algorithm more open for scalabili...
Michael Affenzeller
ASPLOS
1996
ACM
15 years 7 months ago
A Quantitative Analysis of Loop Nest Locality
This paper analyzes and quantifies the locality characteristics of numerical loop nests in order to suggest future directions for architecture and software cache optimizations. Si...
Kathryn S. McKinley, Olivier Temam
EMSOFT
2009
Springer
15 years 7 months ago
Modular static scheduling of synchronous data-flow networks: an efficient symbolic representation
This paper addresses the question of producing modular sequential imperative code from synchronous data-flow networks. Precisely, given a system with several input and output flow...
Marc Pouzet, Pascal Raymond
GECCO
2006
Springer
213views Optimization» more  GECCO 2006»
15 years 6 months ago
Evolutionary unit testing of object-oriented software using strongly-typed genetic programming
Evolutionary algorithms have successfully been applied to software testing. Not only approaches that search for numeric test data for procedural test objects have been investigate...
Stefan Wappler, Joachim Wegener
CPHYSICS
2006
127views more  CPHYSICS 2006»
15 years 3 months ago
GenAnneal: Genetically modified Simulated Annealing
A modification of the standard Simulated Annealing (SA) algorithm is presented for finding the global minimum of a continuous multidimensional, multimodal function. We report resu...
Ioannis G. Tsoulos, Isaac E. Lagaris