Diversity in Genetic Programming: An Analysis of Measures and Correlation with Fitness

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@Article{gustafson:2004:IEEE,

• author = "Edmund K. Burke and Steven Gustafson and Graham Kendall",
• title = "Diversity in Genetic Programming: An Analysis of Measures and Correlation with Fitness",
• journal = "IEEE Transactions on Evolutionary Computation",
• publisher = "IEEE Press",
• year = "2004",
• volume = "8",
• number = "1",
• month = feb,
• pages = "47--62",
• keywords = "genetic algorithms, genetic programming, diversity, population dynamics",
• ISSN = "1089-778X",
• URL = "http://www.cs.nott.ac.uk/~smg/research/publications/gustafson-ieee2004-preprint.pdf",
• URL = "http://www.cs.nott.ac.uk/~smg/research/publications/gustafson-ieee2004-preprint.ps",
• DOI = "doi:10.1109/TEVC.2003.819263",
• size = "16 pages",
• abstract = "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 behaviours 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 behavioural 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.",

}

Genetic Programming entries for Edmund Burke Steven M Gustafson Graham Kendall

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