Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Calculating the expected loss of diversity of selection schemes
Evolutionary Computation
Finding Multimodal Solutions Using Restricted Tournament Selection
Proceedings of the 6th International Conference on Genetic Algorithms
A Mathematical Analysis of Tournament Selection
Proceedings of the 6th International Conference on Genetic Algorithms
Lexicographic Parsimony Pressure
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Backward-chaining genetic programming
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
A comparison of selection schemes used in evolutionary algorithms
Evolutionary Computation
Population clustering in genetic programming
EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
FOGA'05 Proceedings of the 8th international conference on Foundations of Genetic Algorithms
An analysis of multi-sampled issue and no-replacement tournament selection
Proceedings of the 10th annual conference on Genetic and evolutionary computation
A survey and taxonomy of performance improvement of canonical genetic programming
Knowledge and Information Systems
ACAL '09 Proceedings of the 4th Australian Conference on Artificial Life: Borrowing from Biology
A review of tournament selection in genetic programming
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
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Tournament selection has been widely used and studied in evolutionary algorithms. To supplement the study of tournament selection, this paper provides several models describing the probabilities that a program of a particular rank is sampled and is selected in the standard tournament selection in a simple situation and a complex situation. This paper discovers that, with the same tournament size, trends of sampling probability of a program and selection probability distributions of a population are the same regardless ofthe population size. This paper also models and investigates an alternative tournament selection method which eliminates one of the drawbacks in the standard tournament selection. Finally, this paper proposes a new fitness evaluation saving algorithm via the use of not-sampled individuals, which is a special property of tournament selection.