IEEE transactions on evolutionary computation, 2004-02, Vol.8 (1), p.47-62
2004
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Details
- Autor(en) / Beteiligte
- Titel
- Diversity in genetic programming: an analysis of measures and correlation with fitness
- Ist Teil von
- IEEE transactions on evolutionary computation, 2004-02, Vol.8 (1), p.47-62
- Ort / Verlag
- New York, NY: IEEE
- Erscheinungsjahr
- 2004
- Quelle
- IEEE Electronic Library Online
- Beschreibungen/Notizen
- Examines measures of diversity in genetic programming. The goal is to understand the importance of such measures and their relationship with fitness. Diversity methods and measures from the literature are surveyed and a selected set of measures are applied to common standard problem instances in an experimental study. Results show the varying definitions and behaviors of diversity and the varying correlation between diversity and fitness during different stages of the evolutionary process. Populations in the genetic programming algorithm are shown to become structurally similar while maintaining a high amount of behavioral differences. Conclusions describe what measures are likely to be important for understanding and improving the search process and why diversity might have different meaning for different problem domains.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1089-778XeISSN: 1941-0026DOI: 10.1109/TEVC.2003.819263Titel-ID: cdi_proquest_miscellaneous_28254088
- Format
- –
- Schlagworte
- Algorithm design and analysis, Applied sciences, Artificial intelligence, Computer science, control theory, systems, Convergence, Diversity methods, Dynamic programming, Exact sciences and technology, Genetic programming, Information technology, Learning and adaptive systems, Measurement standards, Stochastic processes