Good versus bad knowledge: Ontology guided evolutionary algorithms

作者：

Highlights：

• Good and bad knowledge are modeled as taxonomic ontologies.

• A knowledge guided genetic algorithm is guided by the ontologies.

• Organisms are represented as decision trees.

• Good versus bad knowledge on a genetic algorithm mutating decision trees is tested.

• Results show bad knowledge has no effect while good knowledge can guide mutation.

摘要

•Good and bad knowledge are modeled as taxonomic ontologies.•A knowledge guided genetic algorithm is guided by the ontologies.•Organisms are represented as decision trees.•Good versus bad knowledge on a genetic algorithm mutating decision trees is tested.•Results show bad knowledge has no effect while good knowledge can guide mutation.

论文关键词：Evolutionary algorithms,Knowledge guided,Genetic algorithm,Ontology,Decision trees

论文评审过程：Available online 28 May 2015, Version of Record 9 July 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.04.064