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Addressing the envelope reduction of sparse matrices using a genetic programming system.

, and . Comput. Optim. Appl., 60 (3): 789-814 (2015)

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Limitations of the fitness-proportional negative slope coefficient as a difficulty measure., , and . GECCO, page 1877-1878. ACM, (2009)Free lunches for neural network search., and . GECCO, page 1291-1298. ACM, (2009)Evolving timetabling heuristics using a grammar-based genetic programming hyper-heuristic framework., , and . Memetic Computing, 1 (3): 205-219 (2009)Generalisation of the limiting distribution of program sizes in tree-based genetic programming and analysis of its effects on bloat., and . GECCO, page 1588-1595. ACM, (2007)Genetic Programming Bloat with Dynamic Fitness., and . EuroGP, volume 1391 of Lecture Notes in Computer Science, page 97-112. Springer, (1998)A Simple but Theoretically-Motivated Method to Control Bloat in Genetic Programming.. EuroGP, volume 2610 of Lecture Notes in Computer Science, page 204-217. Springer, (2003)Genetic Programming Discovers Efficient Learning Rules for the Hidden and Output Layers of Freeforward Neural Networks., and . EuroGP, volume 1598 of Lecture Notes in Computer Science, page 120-134. Springer, (1999)Practical Model of Genetic Programming's Performance on Rational Symbolic Regression Problems., and . EuroGP, volume 4971 of Lecture Notes in Computer Science, page 122-133. Springer, (2008)Extending Particle Swarm Optimisation via Genetic Programming., , and . EuroGP, volume 3447 of Lecture Notes in Computer Science, page 291-300. Springer, (2005)A Linear Estimation-of-Distribution GP System., and . EuroGP, volume 4971 of Lecture Notes in Computer Science, page 206-217. Springer, (2008)