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 52 articles )

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  1. Paixão, Tiago; Badkobeh, Golnaz; Barton, Nick; Çörüş, Doğan; Dang, Duc-Cuong; Friedrich, Tobias; Lehre, Per Kristian; Sudholt, Dirk; Sutton, Andrew M.; Trubenová, Barbora: Toward a unifying framework for evolutionary processes (2015)
  2. Sobeyko, Oleh; Mönch, Lars: Grouping genetic algorithms for solving single machine multiple orders per job scheduling problems (2015)
  3. Burbidge, Robert; Wilson, Myra S.: Vector-valued function estimation by grammatical evolution for autonomous robot control (2014)
  4. Eneya, Levis; Bosse, Torsten; Griewank, Andreas: A method for pointwise evaluation of polyconvex envelopes (2013)
  5. Nambiar, Vishnu P.; Balakrishnan, Sathivellu; Khalil-Hani, Mohamed; Marsono, M.N.: HW/SW co-design of reconfigurable hardware-based genetic algorithm in FPGAs applicable to a variety of problems (2013)
  6. Conde, Roberto; Alejo, David; Cobano, Jose Antonio; Viguria, Antidio; Ollero, Aníbal: Conflict detection and resolution method for cooperating unmanned aerial vehicles (2012)
  7. Ponsignon, Thomas; Mönch, Lars: Heuristic approaches for master planning in semiconductor manufacturing (2012)
  8. Reif, Matthias; Shafait, Faisal; Dengel, Andreas: Meta-learning for evolutionary parameter optimization of classifiers (2012)
  9. Yoon, Yourim; Kim, Yong-Hyuk; Moraglio, Alberto; Moon, Byung-Ro: Quotient geometric crossovers and redundant encodings (2012)
  10. Chiang, Tsung-Che; Cheng, Hsueh-Chien; Fu, Li-Chen: A memetic algorithm for minimizing total weighted tardiness on parallel batch machines with incompatible job families and dynamic job arrival (2010)
  11. Hosny, Manar I.; Mumford, Christine L.: The single vehicle pickup and delivery problem with time windows: Intelligent operators for heuristic and metaheuristic algorithms (2010)
  12. Madeira, J.F.Aguilar; Pina, H.L.; Rodrigues, H.C.: GA topology optimization using random keys for tree encoding of structures (2010)
  13. Stillwell, Mark; Schanzenbach, David; Vivien, Frédéric; Casanova, Henri: Resource allocation algorithms for virtualized service hosting platforms (2010)
  14. Dessì, Nicoletta; Pes, Barbara: An evolutionary method for combining different feature selection criteria in microarray data classification (2009)
  15. Theofilatos, Konstantinos; Beligiannis, Grigorios; Likothanassis, Spiridon: Combining evolutionary and stochastic gradient techniques for system identification (2009)
  16. Becker, Ying L.; Fox, Harold; Fei, Peng: An empirical study of multi-objective algorithms for stock ranking (2008)
  17. del Grosso, C.; Antoniol, G.; Merlo, E.; Galinier, P.: Detecting buffer overflow via automatic test input data generation (2008)
  18. Li, Yiming; Yu, Shao-Ming; Li, Yih-Lang: Electronic design automation using a unified optimization framework (2008)
  19. Poojari, Chandra A.; Varghese, Boby: Genetic algorithm based technique for solving chance constrained problems (2008)
  20. Tzovaras, Dimitros (ed.): Multimodal user interfaces. From signals to interaction (2008)

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