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Soft Computing
Published in: Soft Computing 10/2015

01-10-2015 | Methodologies and Application

A novel optimization algorithm inspired by the creative thinking process

Authors: Xiang Feng, Ru Zou, Huiqun Yu

Published in: Soft Computing | Issue 10/2015

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Abstract

Creative thinking, which plays an essential role in the progress of human society, has an outstanding problem-solving ability. This paper presents a novel creativity-oriented optimization model (COOM) and algorithm (COOA) inspired by the creative thinking process. At first, COOM is constructed by simplifying the procedure of creative thinking while retaining its main characteristics. And then, COOA is presented for continuous optimization problems. It is a realization of COOM. As a new nature-inspired algorithm, COOA is different from other similar algorithms in terms of the basic principle, mathematical formalization and properties. Features of the COOM and the corresponding algorithm include a powerful processing ability for the complex problems, namely high-dimensional, highly nonlinear and random problems. The proposed approach also has the advantages in terms of the higher intelligence, effectiveness, parallelism and lower computation complexity. The properties of COOA, including convergence and parallelism, are discussed in detail. The numerous simulations on the CEC-2013 real-parameter optimization benchmark functions’ problems have shown the effectiveness and parallelism of the proposed approach.
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Metadata
Title
A novel optimization algorithm inspired by the creative thinking process
Authors
Xiang Feng
Ru Zou
Huiqun Yu
Publication date
01-10-2015
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 10/2015
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-014-1459-6

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