Searched for: subject:"Genetic%5C+programming"
(1 - 7 of 7)
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Kramer, O.J.I. (author), El Hasadi, Yousef M.F. (author), de Moel, P.J. (author), Baars, Eric T. (author), Padding, J.T. (author), van der Hoek, J.P. (author)
For an accurate prediction of the porosity of a liquid-solid homogenous fluidized bed, various empirical prediction models have been developed. Symbolic regression machine learning techniques are suitable for analyzing experimental fluidization data to produce empirical expressions for porosity as a function not only of fluid velocity and...
conference paper 2019
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Virgolin, M. (author), Alderliesten, Tanja (author), Bel, Arjan (author), Witteveen, C. (author), Bosman, P.A.N. (author)
The recently introduced Gene-pool Optimal Mixing Evolutionary Algorithm for Genetic Programming (GP-GOMEA) has been shown to find much smaller solutions of equally high quality compared to other state-of-the-art GP approaches. This is an interesting aspect as small solutions better enable human interpretation. In this paper, an adaptation of...
conference paper 2018
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Märtens, M. (author), Kuipers, F.A. (author), Van Mieghem, P.F.A. (author)
Networks are continuously growing in complexity, which creates challenges for determining their most important characteristics. While analytical bounds are often too conservative, the computational effort of algorithmic approaches does not scale well with network size. This work uses Cartesian Genetic Programming for symbolic regression to...
conference paper 2017
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Alibekov, Eduard (author), Kubalìk, Jiřì (author), Babuska, R. (author)
This paper addresses the problem of deriving a policy from the value function in the context of reinforcement learning in continuous state and input spaces. We propose a novel method based on genetic programming to construct a symbolic function, which serves as a proxy to the value function and from which a continuous policy is derived. The...
conference paper 2016
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Kubalìk, Jiřì (author), Alibekov, Eduard (author), Žegklitz, Jan (author), Babuska, R. (author)
This paper presents a first step of our research on designing an effective and efficient GP-based method for symbolic regression. First, we propose three extensions of the standard Single Node GP, namely (1) a selection strategy for choosing nodes to be mutated based on depth and performance of the nodes, (2) operators for placing a compact...
conference paper 2016
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Barrero, D.F. (author), Hernandez-Castro, J.C. (author), Peris-Lopez, P. (author), Camacho, D. (author), Moreno, M.D.R. (author)
Radio frequency identification (RFID) is a powerful technology that enables wireless information storage and control in an economical way. These properties have generated a wide range of applications in different areas. Due to economic and technological constrains, RFID devices are seriously limited, having small or even tiny computational...
journal article 2012
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Van den Bogert, H. (author), Haasnoot, E. (author), Van Kaam, N. (author), Simons, G. (author)
Many problems do not have a direct solution in the form of a known algorithm or program to solve such a problem. These problems include, for example, the designing of electrical circuits and producing robots capable of locomotion. These are all part of a greater problem: the problem of synthesis. How can you make a computer design circuits and...
journal article 2011
Searched for: subject:"Genetic%5C+programming"
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