Although many real world problems are dynamic in nature, the study of Genetic Programming in dynamic environments is still immature. This paper investigates the application of some recently proposed semantic-based crossover operators on a series of dynamic problems. The operators studied include Semantic Similarity based Crossover and the Most Semantic Similarity based Crossover. The experimental results show the advantage of using semantic-based crossovers when tackling dynamic problems.
['Nguyen Quang Uy', 'Eoin Murphy', "Michael O'Neill", 'Nguyen Xuan Hoai']
Semantic-Based Subtree Crossover Applied to Dynamic Problems