The predetermined models are matched to the underlying problem structure of four benchmark functions: onemax, deceptive trap functions, maximal overlapping ...

ABSTRACT. The linkage tree genetic algorithm (LTGA) learns, each gen- eration, a linkage model by building a hierarchical cluster.

The linkage tree genetic algorithm (LTGA) learns, each generation, a linkage model by building a hierarchical cluster tree. The LTGA is an instance of the ...

Thierens, D., & Bosman, P. (2012). Predetermined versus Learned Linkage Models. In Proceedings of ACM Annual Genetic and Evolutionary Computation Conference ...

Bibliographic details on Predetermined versus learned linkage models.

Predetermined versus learned linkage models. In Proceedings of the 14th Annual. Conference on Genetic and Evolutionary Computation,. GECCO '12, pages 289–296 ...

The ECGA is a competent Genetic Algorithm that uses a probabilistic model to learn the linkage among variables and then uses this information to solve hard ...

Updating linkage during the method run was found more effec- tive than using the predetermined linkage learning models [31]. Additionally, frequent linkage ...

Motor sequence learning refers to the process in which a predetermined ordered list (sequence) of motor actions is performed with increasing spatial and ...

A linkage model F j is learned for each cluster C j to distinguish different regions along the Pareto Front and allow a different, objective-space region- ...