Variable Chromosome Length Genetic Algorithm for Structural Topology Design Optimization

2004 ◽  
Author(s):  
Il Yong Kim ◽  
Olivier de Weck
Keyword(s):  
Genetic Algorithm ◽  
Design Optimization ◽  
Chromosome Length ◽  
Topology Design ◽  
Structural Topology ◽  
Structural Topology Design

Structural Topology Design Optimization for Controlled Crash Behavior

2003 ◽  
Author(s):  
Ciro A. Soto
Keyword(s):  
Design Optimization ◽  
Automotive Industry ◽  
Optimization Problem ◽  
Dynamic Equilibrium ◽  
Topology Design ◽  
Structural Behavior ◽  
Structural Topology ◽  
Design Engineers ◽  
Optimum Topology ◽  
Structural Topology Design

This paper presents a methodology to perform structural topology design optimization for crashworthiness considering a prescribed and safe structural behavior through the dynamic equilibrium equation. This implementation, called here controlled crash behavior, or CCB, is very useful for design engineers in the automotive industry since it allows them to ‘prescribe’ a structural behavior of the vehicle at given locations of interest. The methodology is based on previous work from the author where the optimum topology is determined using a heuristic (optimality) criterion to attain a design with prescribed levels of plastic strains and stresses. The paper includes a simple beam example to demonstrate the CCB approach. Results are consistent with the formulation of the optimization problem.

Genetic Algorithm-Based Structural Topology Design With Compliance and Topology Simplification Considerations

1996 ◽  
Vol 118 (1) ◽  
pp. 89-98 ◽  
Author(s):  
C. D. Chapman ◽  
M. J. Jakiela
Keyword(s):  
Genetic Algorithm ◽  
Topology Optimization ◽  
Optimization Technique ◽  
Topology Design ◽  
Structural Topology Optimization ◽  
Structural Topology ◽  
Design Representation ◽  
Homogenization Methods ◽  
Future Work ◽  
Structural Topology Design

The genetic algorithm (GA), an optimization technique based on the theory of natural selection, is applied to structural topology design problems. After reviewing the genetic algorithm and previous research in structural topology optimization, we detail the chromosome-to-design representation which enables the genetic algorithm to perform structural topology optimization. Extending our prior investigations, this article first compares our genetic-algorithm-based technique with homogenization methods in the minimization of a structure’s compliance subject to a maximum volume constraint. We then use our technique to generate topologies combining high structural performance with a variety of material connectivity characteristics which arise directly from our discretized design representation. After discussing our findings, we describe potential future work.

Genetic Algorithm-Based Structural Topology Design With Compliance and Manufacturability Considerations

1994 ◽  
Author(s):  
Colin D. Chapman ◽  
Mark J. Jakiela
Keyword(s):  
Genetic Algorithm ◽  
Optimization Technique ◽  
Weight Ratio ◽  
Topology Design ◽  
Structural Topology ◽  
Programming Technique ◽  
Design Representation ◽  
Homogenization Methods ◽  
Future Work ◽  
Structural Topology Design

Abstract The genetic algorithm, a search and optimization technique based on the theory of natural selection, is applied to structural topology design problems with compliance and manufacturability considerations. After describing the genetic algorithm and reviewing previous research in structural topology design, we detail the chromosome-to-design representation which enables the genetic algorithm to perform structural topology optimization. Extending our prior investigations, this article details the use of our genetic algorithm-based technique to minimize a structure’s compliance, subject to a maximum volume constraint. The resulting structure is then directly compared with a solution obtained using a mathematical programming technique and material homogenization methods. We also demonstrate how our technique can generate structures which combine high stiffness-to-weight ratio with high manufacturability. After a brief discussion of our findings, we describe potential future work in genetic algorithm-based structural topology design.

scholarly journals Genetic Algorithms as an Approach to Configuration and Topology Design

1994 ◽  
Vol 116 (4) ◽  
pp. 1005-1012 ◽  
Author(s):  
C. D. Chapman ◽  
K. Saitou ◽  
M. J. Jakiela
Keyword(s):  
Genetic Algorithm ◽  
Topology Optimization ◽  
Optimization Technique ◽  
Topology Design ◽  
Structural Topology Optimization ◽  
Structural Topology ◽  
Design Representation ◽  
Future Work ◽  
Structural Topology Design ◽  
Algorithm Search

The genetic algorithm, a search and optimization technique based on the theory of natural selection, is applied to problems of structural topology design. An overview of the genetic algorithm will first describe the genetics-based representations and operators used in a typical genetic algorithm search. Then, a review of previous research in structural optimization is provided. A discretized design representation, and methods for mapping genetic algorithm “chromosomes” into this representation, is then detailed. Several examples of genetic algorithm-based structural topology optimization are provided: we address the optimization of cantilevered plate topologies, and we investigate methods for optimizing finely-discretized design domains. The genetic algorithm’s ability to find families of highly-fit designs is also examined. Finally, a description of potential future work in genetic algorithm-based structural topology optimization is offered.

scholarly journals Spatial zoning for better structural topology design and performance

2020 ◽  
Vol 46 ◽  
pp. 101162
Author(s):  
Dennis P.H. Claessens ◽  
Sjonnie Boonstra ◽  
Hèrm Hofmeyer
Keyword(s):  
Topology Design ◽  
Structural Topology ◽  
And Performance ◽  
Structural Topology Design
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