Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
An introduction to genetic algorithms
An introduction to genetic algorithms
Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators
Artificial Intelligence Review
Visualizing tree structures in genetic programming
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Diversity in genetic programming: an analysis of measures and correlation with fitness
IEEE Transactions on Evolutionary Computation
Statistical exploratory analysis of genetic algorithms
IEEE Transactions on Evolutionary Computation
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Selection Enthusiasm is a technique that allows weaker individuals in a population to compete with stronger individuals. In essence, each time a individual is selected its enthusiasm for being selected again is diminished relatively; the converse happens to the unselected individuals i.e. their raw fitness is adjusted. Therefore the fitness of an individual is based on two parameters; objectiveness and Selected Enthusiasm. The effects of such a technique are measured and results show that using selection enthusiasism yields fitter individuals and a more diverse population.