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Searching for novel regression functions

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conference contribution
posted on 2013-08-09, 11:18 authored by Yuliana Martínez, Edgar Galván-López
The objective function is the core element in most search algorithms that are used to solve engineering and scientific problems, referred to as the fitness function in evolutionary computation. Some researchers have attempted to bridge this difference by reducing the need for an explicit fitness function. A noteworthy example is the novelty search (NS) algorithm, that substitutes fitness with a measure of uniqueness, or novelty, that each individual introduces into the search. NS employs the concept of behavioral space, where each individual is described by a domain-specific descriptor that captures the main features of an individual’s performance. However, defining a behavioral descriptor is not trivial, and most works with NS have focused on robotics. This paper is an extension of recent attempts to expand the application domain of NS. In particular, it represents the first attempt to apply NS on symbolic regression with genetic programming (GP). The relationship between the proposed NS algorithm and recent semantics-based GP algorithms is explored. Results are encouraging and consistent with recent findings, where NS achieves below average performance on easy problems, and achieves very good performance on hard problems. In summary, this paper presents the first attempt to apply NS on symbolic regression, a continuation of recent research devoted at extending the domain of competence for behavior-based search.

Funding

Situated Adaptive Guidance for the Mobile Elderly

The Research Council of Norway

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Domestic policy internationalization.Political design in the meeting between elected, managed and organized interests

The Research Council of Norway

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U.S.-Hungary Cooperative Mathematical Research on Vilenkin- Fourier Series

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History

Publication

Congress on Evolutionary Computation;pp. 16-23

Publisher

IEEE Computer Society

Note

peer-reviewed

Other Funding information

CONACYT, DGEST, SFI

Rights

“© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”

Language

English

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