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 67 articles )

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  1. Biele, Alexander; Mönch, Lars: Decomposition methods for cost and tardiness reduction in aircraft manufacturing flow lines (2019)
  2. Brito, Darlan N.; Pádua, Flávio L. C.; Lopes, Aldo P. C.: Using geometric interval algebra modeling for improved three-dimensional camera calibration (2019)
  3. Rocholl, Jens; Mönch, Lars: Hybrid algorithms for the earliness-tardiness single-machine multiple orders per job scheduling problem with a common due date (2018)
  4. Mesquita, Marta; Murta, Alberto G.; Paias, Ana; Wise, Laura: A metaheuristic approach to fisheries survey route planning (2017)
  5. Toledo, R.; Aznárez, J. J.; Greiner, D.; Maeso, O.: Shape design optimization of road acoustic barriers featuring top-edge devices by using genetic algorithms and boundary elements (2016)
  6. Tsoulos, Ioannis G.; Tzallas, Alexandros; Tsalikakis, Dimitris: PDoublePop: an implementation of parallel genetic algorithm for function optimization (2016)
  7. 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)
  8. Sobeyko, Oleh; Mönch, Lars: Grouping genetic algorithms for solving single machine multiple orders per job scheduling problems (2015)
  9. Burbidge, Robert; Wilson, Myra S.: Vector-valued function estimation by grammatical evolution for autonomous robot control (2014)
  10. Spanos, Athanasios C.; Ponis, Stavros T.; Tatsiopoulos, Ilias P.; Christou, Ioannis T.; Rokou, Elena: A new hybrid parallel genetic algorithm for the job-shop scheduling problem (2014)
  11. Barkaoui, Mohamed; Gendreau, Michel: An adaptive evolutionary approach for real-time vehicle routing and dispatching (2013)
  12. Dauzère-Pérès, Stéphane; Mönch, Lars: Scheduling jobs on a single batch processing machine with incompatible job families and weighted number of tardy jobs objective (2013)
  13. Eneya, Levis; Bosse, Torsten; Griewank, Andreas: A method for pointwise evaluation of polyconvex envelopes (2013)
  14. 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) ioport
  15. Yuan, Shuai; Skinner, Bradley; Huang, Shoudong; Liu, Dikai: A new crossover approach for solving the multiple travelling salesmen problem using genetic algorithms (2013)
  16. Conde, Roberto; Alejo, David; Cobano, Jose Antonio; Viguria, Antidio; Ollero, Aníbal: Conflict detection and resolution method for cooperating unmanned aerial vehicles (2012) ioport
  17. Pelteret, J-P. V.; Reddy, B. D.: Computational model of soft tissues in the human upper airway (2012)
  18. Ponsignon, Thomas; Mönch, Lars: Heuristic approaches for master planning in semiconductor manufacturing (2012)
  19. Reif, Matthias; Shafait, Faisal; Dengel, Andreas: Meta-learning for evolutionary parameter optimization of classifiers (2012) ioport
  20. Yoon, Yourim; Kim, Yong-Hyuk; Moraglio, Alberto; Moon, Byung-Ro: Quotient geometric crossovers and redundant encodings (2012)

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