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The Architecture of a Software Framework for Biologically-Inspired Optimization Algorithms

Authors:
Florin Leon
Silvia Curteanu

Keywords: biologically-inspired optimization algorithms; optimization framework; software architecture; .NET framework

Abstract:
Biologically-inspired optimization algorithms are robust techniques that can be applied for a wide range of practical problems. A large number of such algorithms have been proposed by researchers, but their implementation is often not available or is done in different programming languages. This paper presents a flexible software architecture of a .NET optimization framework where such methods can be easily incorporated. It includes algorithms that belong to various subfields: from ideas based on human social behavior to ideas based on virus behavior. Using this framework, many modifications and hybridizations for algorithms are also possible.

Pages: 10 to 15

Copyright: Copyright (c) IARIA, 2021

Publication date: July 18, 2021

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-61208-882-2

Location: Nice, France

Dates: from July 18, 2021 to July 22, 2021