Abstract
We present several methods based on evolutionary computation for classification of oncology data. The results in comparisons with other existing techniques show that our evolutionary computation-based methods are superior in most cases. Evolutionary computation is effective in this study because it can offer efficiency in searching in high-dimension space, particularly in nonlinear optimization and hard optimization problems. The first part of this chapter is the review of some previous work on cancer classification. The second part is an overview of evolutionary computation. The third part focuses on methods based on evolutionary computation and their applications on oncology data. Finally, this chapter concludes with some remarks and suggestions for further investigation.
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To, C.C., Pham, T. (2009). Analysis of Cancer Data Using Evolutionary Computation. In: Pham, T. (eds) Computational Biology. Applied Bioinformatics and Biostatistics in Cancer Research. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-0811-7_6
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