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- W68304801 abstract "There have been many different views and definitions about evolu- tionary computation. Some regard evolutionary computation as genetic algorithms (GAs), although GAs are only one of many possible types of evolutionary algorithms (EAs). In this chapter, we will take a much broader view of what evolutionary computation is by emphasizing its computational nature. In short, evolutionary computation refers to the study of computational systems that use ideas and draw inspirations from natural evolution. Evolutionary computation techniques can be used to solve a wide range of practical problems in optimization, machine learning and design. This chapter gives a brief introduction to evolutionary computation. A few important issues that may have been overlooked in evolutionary computation will be emphasized. Pointers to further details in the literature will be given whenever appropriate." @default.
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- W68304801 date "2005-01-01" @default.
- W68304801 modified "2023-09-23" @default.
- W68304801 title "A Selected Introduction to Evolutionary Computation" @default.
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- W68304801 doi "https://doi.org/10.1007/978-3-540-44511-1_1" @default.
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