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A Generalized SNC-BESO Method for Multi-objective Topology Optimization Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Vehicle Configuration Design Using Cellular-Division and Level-Set Based Topology Optimization

Authors : Ramana V. Grandhi, Hao Li, Marcelo Kobayashi, Raymond M. Kolonay

Published in: EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization

Publisher: Springer International Publishing

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Abstract

In this research, a combination of global-local optimization with the possibility of multi-objective trade-off solutions is considered for vehicle configuration design. At global-level, many potential configurations are created as initial designs using cellular-division method for design space exploration. At local-level, level-set method optimizes these initial shapes for strict constraint satisfaction. A combination of these two approaches with their individual strengths are synergistically integrated for evolving a configuration from an open-ended design space for better optima. This research demonstrates the framework using several benchmark problems of topology optimization.

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previous chapter Alternatives to Evolutionary Optimization Algorithms in the Context of Traditional Stochastic Optimization Methods in Smart Area Technical Equipment Applications
next chapter A Surrogate-Assisted Cooperative Co-evolutionary Algorithm for Solving High Dimensional, Expensive and Black Box Optimization Problems
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Metadata
Title
Vehicle Configuration Design Using Cellular-Division and Level-Set Based Topology Optimization
Authors
Ramana V. Grandhi
Hao Li
Marcelo Kobayashi
Raymond M. Kolonay
Copyright Year
2019
Book
EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization

Print ISBN: 978-3-319-97772-0

Electronic ISBN: 978-3-319-97773-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-97773-7_3

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