Reducing bias and inefficiency in the selection algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Proceedings of the third international conference on Genetic algorithms
Evaluating evolutionary algorithms
Artificial Intelligence - Special volume on empirical methods
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Calculating the expected loss of diversity of selection schemes
Evolutionary Computation
Bridging the gap between planning and scheduling
The Knowledge Engineering Review
A comparison of selection schemes used in evolutionary algorithms
Evolutionary Computation
FOGA'05 Proceedings of the 8th international conference on Foundations of Genetic Algorithms
Backward-chaining evolutionary algorithms
Artificial Intelligence
Another investigation on tournament selection: modelling and visualisation
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Genetic Programming and Evolvable Machines
An analysis of multi-sampled issue and no-replacement tournament selection
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Backward-chaining evolutionary algorithms
Artificial Intelligence
Balancing Parent and Offspring Selection in Genetic Programming
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
An evolutionary approach to inverse gray level quantization
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
A review of tournament selection in genetic programming
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
DISPAR-tournament: a parallel population reduction operator that behaves like a tournament
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part I
Investigating vesicular selection
Applied Soft Computing
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Tournament selection is a popular form of selection which is commonly used with genetic algorithms, genetic programming and evolutionary programming. However, tournament selection introduces a sampling bias into the selection process. We review analytic results and present empirical evidence that shows this bias has a significant impact on search performance. We introduce two new forms of unbiased tournament selection that remove or reduce sampling bias in tournament selection.