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GECCO
2009
Springer
13 years 9 months ago
Evolving heuristically difficult instances of combinatorial problems
When evaluating a heuristic for a combinatorial problem, randomly generated instances of the problem may not provide a thorough exploration of the heuristic's performance, an...
Bryant A. Julstrom
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
13 years 10 months ago
Statistical analysis of heuristics for evolving sorting networks
Designing efficient sorting networks has been a challenging combinatorial optimization problem since the early 1960’s. The application of evolutionary computing to this problem ...
Lee K. Graham, Hassan Masum, Franz Oppacher
PDCN
2004
13 years 6 months ago
Scalable parallel algorithms for difficult combinatorial problems: A case study in optimization
A novel combination of emergent algorithmic methods, powerful computational platforms and supporting infrastructure is described. These complementary tools and technologies are us...
Faisal N. Abu-Khzam, Michael A. Langston, Pushkar ...
AE
2007
Springer
13 years 11 months ago
Generating SAT Local-Search Heuristics Using a GP Hyper-Heuristic Framework
We present GP-HH, a framework for evolving local-search 3-SAT heuristics based on GP. The aim is to obtain “disposable” heuristics which are evolved and used for a specific su...
Mohamed Bahy Bader-El-Den, Riccardo Poli
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
13 years 11 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...