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Multi-Working Modes Product-Color Planning Based on Evolutionary Algorithms and Swarm Intelligence
Joint Authors
Sun, Wei
Chen, Hanning
Ding, Man
Source
Mathematical Problems in Engineering
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-05-06
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
In order to assist designer in color planning during product development, a novel synthesized evaluation method is presented to evaluate color-combination schemes of multi-working modes products (MMPs).
The proposed evaluation method considers color-combination images in different working modes as evaluating attributes, to which the corresponding weights are assigned for synthesized evaluation.
Then a mathematical model is developed to search for optimal color-combination schemes of MMP based on the proposed evaluation method and two powerful search techniques known as Evolution Algorithms (EAs) and Swarm Intelligence (SI).
In the experiments, we present a comparative study for two EAs, namely, Genetic Algorithm (GA) and Difference Evolution (DE), and one SI algorithm, namely, Particle Swarm Optimization (PSO), on searching for color-combination schemes of MMP problem.
All of the algorithms are evaluated against a test scenario, namely, an Arm-type aerial work platform, which has two working modes.
The results show that the DE obtains the superior solution than the other two algorithms for color-combination scheme searching problem in terms of optimization accuracy and computation robustness.
Simulation results demonstrate that the proposed method is feasible and efficient.
American Psychological Association (APA)
Ding, Man& Sun, Wei& Chen, Hanning. 2010. Multi-Working Modes Product-Color Planning Based on Evolutionary Algorithms and Swarm Intelligence. Mathematical Problems in Engineering،Vol. 2010, no. 2010, pp.1-15.
https://search.emarefa.net/detail/BIM-504999
Modern Language Association (MLA)
Ding, Man…[et al.]. Multi-Working Modes Product-Color Planning Based on Evolutionary Algorithms and Swarm Intelligence. Mathematical Problems in Engineering No. 2010 (2010), pp.1-15.
https://search.emarefa.net/detail/BIM-504999
American Medical Association (AMA)
Ding, Man& Sun, Wei& Chen, Hanning. Multi-Working Modes Product-Color Planning Based on Evolutionary Algorithms and Swarm Intelligence. Mathematical Problems in Engineering. 2010. Vol. 2010, no. 2010, pp.1-15.
https://search.emarefa.net/detail/BIM-504999
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504999