A repair operator for the preliminary design of a composite structure using genetic algorithms

2016 ◽  
Vol 55 (6) ◽  
pp. 2099-2110 ◽  
Author(s):  
S. Zein ◽  
V. Madhavan ◽  
D. Dumas
Keyword(s):  
Genetic Algorithms ◽  
Composite Structure ◽  
Preliminary Design ◽  
Repair Operator

Using Genetic Algorithms to Set Target Values for Engineering Characteristics in the House of Quality

1999 ◽  
Author(s):  
Patricia Brackin ◽  
Jonathan Colton
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Penalty Functions ◽  
Preliminary Design ◽  
Test Results ◽  
House Of Quality ◽  
Design Specifications ◽  
Engineering Characteristics ◽  
Target Values

Abstract As part of a strategy for obtaining preliminary design specifications from the House of Quality, genetic algorithms were used to generate and optimize preliminary design specifications for an automotive case study. This paper describes the House of Quality for the automotive case study. In addition, the genetic algorithm chosen, the genetic coding, the methods used for mutation and reproduction, and the fitness and penalty functions are descrobed. Methods for determining convergence are examined. Finally, test results show that the genetic algorithm produces reasonable preliminary design specifications.

A Strategy for Extending the House of Quality to Obtain Preliminary Design Specifications

1999 ◽  
Author(s):  
Patricia Brackin ◽  
Jonathan Colton
Keyword(s):  
Genetic Algorithms ◽  
Automotive Industry ◽  
Test Case ◽  
Preliminary Design ◽  
House Of Quality ◽  
Design Specifications

Abstract This paper details a strategy for quantifying the House of Quality to produce preliminary design specifications. Estimation modules replace the traditional symbols in the HoQ. Genetic algorithms are used to produce and rate candidate preliminary design specifications. A test case from the automotive industry is implemented in order to test the effectiveness of the strategy. Results from the test case indicate that the strategy produces preliminary design specifications that are reasonable and consistent.

Optimization of Multi-Modal Discrete Functions Using Genetic Algorithms

1993 ◽  
Vol 207 (1) ◽  
pp. 53-59 ◽  
Author(s):  
D T Pham ◽  
Y Yang
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Optimization Problem ◽  
Approximate Solutions ◽  
Solution Set ◽  
Preliminary Design ◽  
Potential Solution ◽  
Reproduction Cycle ◽  
Fitness Sharing ◽  
Discrete Functions

Four techniques are described which can help a genetic algorithm to locate multiple approximate solutions to a multi-modal optimization problem. These techniques are: fitness sharing, ‘eliminating’ identical solutions, ‘removing’ acceptable solutions from the reproduction cycle and applying heuristics to improve sub-standard solutions. Essentially, all of these techniques operate by encouraging genetic variety in the potential solution set. The preliminary design of a gearbox is presented as an example to illustrate the effectiveness of the proposed techniques.

A two-level procedure based on genetic algorithms to optimize an aeronautical composite structure

2012 ◽  
Author(s):  
Leonardo D. Chiwiacowsky ◽  
Paolo Gasbarri ◽  
Riccardo Monti ◽  
Haroldo F. C. Velho ◽  
Arthur T. Gómez
Keyword(s):  
Genetic Algorithms ◽  
Composite Structure

Using Genetic Algorithms to Set Target Values for Engineering Characteristics in the House of Quality

2002 ◽  
Vol 2 (2) ◽  
pp. 106-114 ◽  
Author(s):  
Patricia Brackin ◽  
Jonathan S. Colton
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Penalty Functions ◽  
Preliminary Design ◽  
Test Results ◽  
House Of Quality ◽  
Design Specifications ◽  
Engineering Characteristics ◽  
Target Values

As part of a strategy for obtaining preliminary design specifications from the House of Quality, genetic algorithms are used to generate and optimize preliminary design specifications for an automotive case study. This paper describes the House of Quality for an automotive case study. In addition, the genetic algorithm chosen, the genetic coding, the methods used for mutation and reproduction, and the fitness and penalty functions are described. Methods for determining convergence are examined. Finally, test results show that the genetic algorithm produces reasonable preliminary design specifications.

Interactive Genetic Algorithms for Optimal Assignment of Blocks into Workspaces of Shipbuilding Industry

2015 ◽  
Vol 6 (1) ◽  
pp. 30-48 ◽  
Author(s):  
Qin Shiming ◽  
Satchidananda Dehuri ◽  
Gi-Nam Wang
Keyword(s):  
Genetic Algorithms ◽  
Domain Knowledge ◽  
Subjective Evaluation ◽  
System Level ◽  
Optimal Assignment ◽  
Exploration And Exploitation ◽  
Shipbuilding Industry ◽  
Interactive Genetic Algorithms ◽  
Repair Operator ◽  
Objective And Subjective Evaluation

In this paper one of the fundamental problems of Shipbuilding Industry known as block assignment problem is modeled and solved. The irregular shape of blocks and the inherent intractability of this problem is the primary motivation to use the interactive genetic algorithms with a specialized chromosome level “repair” operator. Without loss of generality, some domain knowledge has been incorporated during the process of exploration and exploitation of an optimal assignment. Therefore the best attributes of objective and subjective evaluation at system level has been realized. The experimental study confirms that the incorporation of the domain knowledge and a new repair operator in interactive genetic algorithms for assigning blocks in workspaces leads to faster convergence and at the same time it reduces the local optimality.

F.E.M. Design Method of Metallic and Composite Smart Structures With Piezoelectric Actuators

2009 ◽  
Author(s):  
Vale´rie Pommier-Budinger ◽  
Marc Budinger ◽  
Javier Romero Martinez ◽  
Rafael Galan Galan
Keyword(s):  
Vibration Control ◽  
Composite Structure ◽  
Design Method ◽  
Smart Structures ◽  
Active Vibration Control ◽  
Piezoelectric Actuators ◽  
Piezoelectric Ceramics ◽  
Control Law ◽  
Preliminary Design ◽  
Active Vibration

This article describes a design method to size smart structures with piezoelectric ceramics. The method makes it possible to determine the amplitudes of vibrations that may be generated by piezoelectric ceramics bonded on a metallic or composite structure. One of the possible applications of the method is the preliminary design of smart structures for active vibration control. This case is particularly treated in this article. The method is based on a reduced model that can be established using a multiphysics FEM software. This model can also be used to compute the control law for vibrations attenuation.

Sign in / Sign up

Export Citation Format

Share Document