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KARÁSEK, J. BURGET, R. DUTTA, M. SINGH, A.
Original Title
Java Evolutionary Framework based on Genetic Programming
Type
conference paper
Language
English
Original Abstract
Automatic optimization techniques, such as evolutionary algorithms, have become popular in the recent years as a general, simple, robust, and scalable solution which can be applied when other optimization method fails. Recently, many evolutionary and/or genetic based optimization frameworks and libraries have been developed and lot of them is freely available. On the other hand, there are not many tools in optimization field that allows the researchers to implement own code, modify existing code or compare different algorithms. This paper proposes a new grammar driven genetic programming based framework implemented in cross-platform Java programming language which allows to implement own code, modify existing, and analyze algorithms. The framework described in this paper addresses the problem of flexibility, modularity, multiplatformness, and presents a general architecture for evolutionary optimization based on genetic programming driven by context free grammar distributed under the LGPL license suitable for both scientific and business applications. In the paper is described a design of the framework, the motivation for development, and two use-cases.
Keywords
Framework, Genetic Programming, Optimization
Authors
KARÁSEK, J.; BURGET, R.; DUTTA, M.; SINGH, A.
RIV year
2014
Released
21. 2. 2014
Location
New Delhi, Republic of India
ISBN
978-1-4799-2865-1
Book
2014 International Conference on Signal Processing and Integrated Networks (SPIN)
Pages from
606
Pages to
612
Pages count
7
BibTex
@inproceedings{BUT105786, author="Jan {Karásek} and Radim {Burget} and Malay Kishore {Dutta} and Anushikha {Singh}", title="Java Evolutionary Framework based on Genetic Programming", booktitle="2014 International Conference on Signal Processing and Integrated Networks (SPIN)", year="2014", pages="606--612", address="New Delhi, Republic of India", isbn="978-1-4799-2865-1" }