In the first part of the chapter, evolutionary algorithms are briefly described, especially genetic algorithms and genetic programming, with sufficient detail so as to prepare the ground for the second part. The latter presents in more detail two specific applications. The first is about an important financial problem: the portfolio allocation problem. The second one deals with a biochemical problem related to drug design and efficacy. © 2008, IGI Global.
Tomassini, M., Vanneschi, L. (2007). Evolutionary algorithms in problem solving and machine learning. In F. Orsucci, N. Sala (a cura di), Reflecting Interfaces: The Complex Coevolution of Information TechnolReflexing Interfaces: The Complex Coevolution of Information Technology Ecosystemsogy Ecosystems (pp. 124-137). IGI Global snippet [10.4018/978-1-59904-627-3.ch009].
Evolutionary algorithms in problem solving and machine learning
VANNESCHI, LEONARDO
2007
Abstract
In the first part of the chapter, evolutionary algorithms are briefly described, especially genetic algorithms and genetic programming, with sufficient detail so as to prepare the ground for the second part. The latter presents in more detail two specific applications. The first is about an important financial problem: the portfolio allocation problem. The second one deals with a biochemical problem related to drug design and efficacy. © 2008, IGI Global.
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