Jessica Mégane, Nuno Lourenço, and Penousal Machado
This work proposes an extension to Structured Grammatical Evolution (SGE) called Co-evolutionary Probabilistic Structured Grammatical Evolution (Co-PSGE). In Co-PSGE each individual in the population is composed by a grammar and a genotype, which is a list of dynamic lists, each corresponding to a non-terminal of the grammar containing real numbers that correspond to the probability of choosing a derivation rule. Each individual uses its own grammar to map the genotype into a program. During the evolutionary process, both the grammar and the genotype are subject to variation operators.
The performance of the proposed approach is compared to 3 different methods, namely, Grammatical Evolution (GE), Probabilistic Grammatical Evolution (PGE), and SGE on four different benchmark problems. The results show the effectiveness of the approach since Co-PSGE is able to outperform all the methods with statistically significant differences in the majority of the problems.
Jessica Mégane, Nuno Lourenço, and Penousal Machado. 2022. Co-evolutionary probabilistic structured grammatical evolution. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ‘22). Association for Computing Machinery, New York, NY, USA, 991–999. https://doi.org/10.1145/3512290.3528833