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Titlebook: Genetic Programming Theory and Practice XII; Rick Riolo,William P. Worzel,Mark Kotanchek Book 2015 Springer International Publishing Switz

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樓主: fasten
21#
發(fā)表于 2025-3-25 03:28:17 | 只看該作者
Physikalische Eigenschaften von Gasen,ced commercial packages, has become an issue for early adopters. Users expect to have the correct formula returned, especially in cases with zero noise and only one basis function with minimally complex grammar depth..At a minimum, users expect the response surface of the SR tool to be easily unders
22#
發(fā)表于 2025-3-25 09:19:15 | 只看該作者
https://doi.org/10.1007/978-3-658-11655-2ically for any regression problem. With this knowledge in mind, the objective of this chapter is to discuss two Genetic Programming (GP) models aimed at finding pairs of optimally aligned individuals. The first one of these models, already introduced in a previous publication, is ESAGP-1. The second
23#
發(fā)表于 2025-3-25 14:00:47 | 只看該作者
P.-F. Kuhrt,R. Giesecke,V. Maurers that can be solved by EC-based approaches. The HUMIES awards at the Genetic and Evolutionary Computation Conference are designed to recognize work that has not just solved some problem via techniques from evolutionary computation, but has produced a solution that is demonstrably human-competitive.
24#
發(fā)表于 2025-3-25 19:37:48 | 只看該作者
Physikalische und technische Grundlagen,iplexer function, both on a single machine using a full-fitness evaluation method, as well as using distributed, age-layered, partial-fitness evaluations and a Pitts-style representation. We study the impact of age-layering and show how the system scales with distribution and tends towards smaller s
25#
發(fā)表于 2025-3-25 22:26:40 | 只看該作者
978-3-319-38376-7Springer International Publishing Switzerland 2015
26#
發(fā)表于 2025-3-26 01:36:21 | 只看該作者
27#
發(fā)表于 2025-3-26 06:08:05 | 只看該作者
https://doi.org/10.1007/978-3-319-16030-6Artificial evolution; Evolution of models; Feature selection; Genetic programming; Genetic programming a
28#
發(fā)表于 2025-3-26 12:28:54 | 只看該作者
29#
發(fā)表于 2025-3-26 14:39:04 | 只看該作者
,Identification of Novel Genetic Models of Glaucoma Using the “EMERGENT” Genetic Programming-Based As of genetic variation from lists of mathematical functions using a form of genetic programming called computational evolution. A key feature of the system is the ability to utilize pre-processed expert knowledge giving it the ability to explore model space much as a human would. We describe this sy
30#
發(fā)表于 2025-3-26 18:29:52 | 只看該作者
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