NDLI: An Immune-based Algorithm for Topology Optimization

Content Provider	IEEE Xplore Digital Library
Author	Campelo, F. Guimaraes, F.G. Igarashi, H. Watanabe, K. Ramirez, J.A.
Copyright Year	2006
Description	Author affiliation: Hokkaido Univ., Sapporo (Campelo, F.)
Abstract	Traditional shape optimization of engineering devices usually starts with an initial user-defined configuration of material. Optimization algorithms are then applied for optimizing objective functions of predefined parameters. While this approach can yield efficient results, it is essentially limited, since limitations in the initial design forbid the computational methods to explore different distributions of material as solutions for a given problem. In other words, the algorithms are not allowed to exhibit creativity in the design process. Topology optimization is a paradigm for optimization that allows such creativity to emerge. Instead of optimizing functions of user-defined parameters, this paradigm optimizes the material properties of each point of the design space, and its methods are theoretically able to describe all possible devices within a limited space. This work presents a new methodology for topology optimization, based on an evolutionary paradigm known as artificial immune systems. The proposed technique is capable of exploring the space locally as well as globally, efficiently searching for the optimal distribution of material. It also incorporates strategies for the evolution of smoother, more regular shapes, in order to generate physically feasible solutions for engineering problems.
Starting Page	3204
Ending Page	3211
File Size	633224
Page Count	8
File Format	PDF
ISBN	0780394879
DOI	10.1109/CEC.2006.1688715
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Topology Shape Design optimization Space exploration Distributed computing Process design Algorithm design and analysis Material properties Optimization methods Artificial immune systems
Content Type	Text
Resource Type	Article

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