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» Genetically designed heuristics for the bin packing problem
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GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
13 years 9 months ago
How an optimal observer can collapse the search space
Many metaheuristics have difficulty exploring their search space comprehensively. Exploration time and efficiency are highly dependent on the size and the ruggedness of the search...
Christophe Philemotte, Hugues Bersini
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
13 years 9 months ago
The role of diverse populations in phylogenetic analysis
The most popular approaches for reconstructing phylogenetic trees attempt to solve NP-hard optimization criteria such as maximum parsimony (MP). Currently, the bestperforming heur...
Tiffani L. Williams, Marc L. Smith
GECCO
2009
Springer
193views Optimization» more  GECCO 2009»
13 years 10 months ago
Optimization of dynamic memory managers for embedded systems using grammatical evolution
New portable consumer embedded devices must execute multimedia applications (e.g., 3D games, video players and signal processing software, etc.) that demand extensive memory acces...
José L. Risco-Martín, David Atienza,...
CORR
2008
Springer
95views Education» more  CORR 2008»
13 years 5 months ago
Explicit Learning: an Effort towards Human Scheduling Algorithms
Scheduling problems are generally NP-hard combinatorial problems, and a lot of research has been done to solve these problems heuristically. However, most of the previous approach...
Jingpeng Li, Uwe Aickelin
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 6 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...