Challenges in Open-Ended Problem Solving with Genetic Programming

Author(s):  
Jason M. Daida
1999 ◽  
Vol 3 (3) ◽  
pp. 251-253 ◽  
Author(s):  
J.R. Koza ◽  
F.H. Bennett ◽  
D. Andre ◽  
M.A. Keane

2011 ◽  
pp. 124-137
Author(s):  
Marco Tomassini ◽  
Leonardo Vanneschi

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.


Author(s):  
Michael Defoin Platel ◽  
Sébastien Vérel ◽  
Manuel Clergue ◽  
Malik Chami

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