Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Preface: Introduction to the special issue on evolutionary computer vision and image understanding
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Linear Genetic Programming (Genetic and Evolutionary Computation)
Linear Genetic Programming (Genetic and Evolutionary Computation)
A domain-independentwindow approach to multiclass object detection using genetic programming
EURASIP Journal on Applied Signal Processing
Multiclass Object Recognition Based on Texture Linear Genetic Programming
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
A parallel implementation of genetic programming that achieves super-linear performance
Information Sciences: an International Journal
Linear genetic programming for multi-class object classification
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Visual Learning by Evolutionary and Coevolutionary Feature Synthesis
IEEE Transactions on Evolutionary Computation
A New Crossover Operator in Genetic Programming for Object Classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Caching for parallel linear genetic programming
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Combining programs to counter code disruption
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Parallel linear genetic programming for multi-class classification
Genetic Programming and Evolvable Machines
Local search in parallel linear genetic programming for multiclass classification
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
PhenoGP: combining programs to avoid code disruption
EuroGP'13 Proceedings of the 16th European conference on Genetic Programming
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Motivated by biological inspiration and the issue of code disruption, we develop a new form of LGP called Parallel LGP (PLGP). PLGP programs consist of n lists of instructions. These lists are executed in parallel, after which the resulting vectors are combined to produce program output. PGLP limits the disruptive effects of crossover and mutation, which allows PLGP to significantly outperform regular LGP.