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CEC
2010
IEEE
13 years 5 months ago
Providing a memory mechanism to enhance the evolutionary design of heuristics
Genetic programming approaches have previously been employed in the literature to evolve heuristics for various combinatorial optimisation problems. This paper presents a hyper-heu...
Edmund K. Burke, Matthew R. Hyde, Graham Kendall
GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
13 years 10 months ago
Heuristic speciation for evolving neural network ensemble
Speciation is an important concept in evolutionary computation. It refers to an enhancements of evolutionary algorithms to generate a set of diverse solutions. The concept is stud...
Shin Ando
ISCA
1996
IEEE
130views Hardware» more  ISCA 1996»
13 years 8 months ago
Informing Memory Operations: Providing Memory Performance Feedback in Modern Processors
Memory latency is an important bottleneck in system performance that cannot be adequately solved by hardware alone. Several promising software techniques have been shown to addres...
Mark Horowitz, Margaret Martonosi, Todd C. Mowry, ...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
13 years 10 months ago
Transgenetic algorithm: a new evolutionary perspective for heuristics design
Transgenetic algorithms are evolutionary computing techniques based on living processes where cooperation is the main evolutionary strategy. Those processes contain the movement o...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...
GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
13 years 10 months ago
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, ...