GALib

GAlib: A C++ Library of Genetic Algorithm Components. GAlib contains a set of C++ genetic algorithm objects. The library includes tools for using genetic algorithms to do optimization in any C++ program using any representation and genetic operators. The documentation includes an extensive overview of how to implement a genetic algorithm as well as examples illustrating customizations to the GAlib classes.


References in zbMATH (referenced in 68 articles )

Showing results 41 to 60 of 68.
Sorted by year (citations)
  1. Dias, Tito jun.; Milanez, Luiz Fernando: Optimal location of heat sources on a vertical wall with natural convection through genetic algorithms (2006)
  2. Mönch, Lars; Unbehaun, Robert; Choung, You In: Minimizing earliness-tardiness on a single burn-in oven with a common due date and maximum allowable tardiness constraint (2006)
  3. Oatley, Giles; Ewart, Brian; Zeleznikow, John: Decision support systems for police: Lessons from the application of data mining techniques to ”soft” forensic evidence. (2006) ioport
  4. Schettini, Raimondo; Zuffi, Silvia: A computational strategy exploiting genetic algorithms to recover color surface reflectance functions (2006) ioport
  5. Ward, Robert; Ward, Ronnie: Cognitive conflict without explicit conflict monitoring in a dynamical agent (2006)
  6. Butz, Torsten; Thiran, Jean-Philippe: From error probability to information theoretic (multi-modal) signal processing (2005)
  7. Carvalho, Milene B.; Ekel, Petr Ya.; Martins, Carlos A. P. S.; Pereira, Joel G.: Fuzzy set-based multiobjective allocation of resources: Solution algorithms and applications (2005)
  8. Luo, Yunhua; Shah, Arvind: A genetic algorithm based procedure for automatic crack profile identification (2005)
  9. Mönch, Lars; Balasubramanian, Hari; Fowler, John W.; Pfund, Michele E.: Heuristic scheduling of jobs on parallel batch machines with incompatible job families and unequal ready times (2005)
  10. Nicolini, Matteo: A two-level evolutionary approach to multi-criterion optimization of water supply systems (2005)
  11. Sekanina, Lukáš; Bidlo, Michal: Evolutionary design of arbitrarily large sorting networks using development (2005) ioport
  12. Sekanina, Lukáš; Bidlo, Michal: Evolutionary design of arbitrarily large sorting networks using development (2005) ioport
  13. Balasubramanian, Hari; Mönch, Lars; Fowler, John; Pfund, Michele: Genetic algorithm based scheduling of parallel batch machines with incompatible job families to minimize total weighted tardiness (2004)
  14. Berger, Jean; Barkaoui, Mohamed: A parallel hybrid genetic algorithm for the vehicle routing problem with time windows (2004)
  15. Mönch, Lars: Scheduling-framework für jobs auf parallelen maschinen inkomplexen produktionssystemen (2004) ioport
  16. Cheung, Peter B.; Reis, Luisa F. R.; Formiga, Klebber T. M.; Chaudhry, Fazal H.; Ticona, Waldo G. C.: Multiobjective evolutionary algorithms applied to the rehabilitation of a water distribution system: A comparative study (2003)
  17. Davies, Cedric; Lingras, Pawan: Genetic algorithms for rerouting shortest paths in dynamic and stochastic networks (2003)
  18. Fink, Andreas; Voß, Stefan; Woodruff, David L.: Metaheuristic class libraries (2003)
  19. Mönch, Lars; Balasubramanian, Hari; Fowler, John W.; Pfund, Michele E.: Minimizing total weighted tardiness on parallel batch process machines using genetic algorithms (2003)
  20. Lutton, Evelyne; Collet, Pierre; Louchet, Jean: EASEA comparisons on test functions: GALib versus EO (2002)