Application of Genetic Algorithms for the Optimum Design of Rigid Pavements

2009 ◽  
Author(s):  
M.N.S. Hadi ◽  
Y. Arfiadi
Keyword(s):  
Genetic Algorithms ◽  
Optimum Design ◽  
Rigid Pavements

Optimum design method for four-bar function generator using AIS and genetic algorithms

2013 ◽  
Author(s):  
Morteza Saeidi Javash ◽  
Mir Mohammad Ettefagh ◽  
Yousof Ebneddin Hamidi
Keyword(s):  
Genetic Algorithms ◽  
Optimum Design ◽  
Design Method ◽  
Function Generator

Reliability-based optimum design for mechanical problems using genetic algorithms

2008 ◽  
Vol 222 (9) ◽  
pp. 1791-1799 ◽  
Author(s):  
Y-T Tsai ◽  
H-C Chang
Keyword(s):  
Genetic Algorithms ◽  
Optimum Design ◽  
Optimization Technique ◽  
Structural Complexity ◽  
Optimal Solution ◽  
Unconstrained Minimization ◽  
Reliability Design ◽  
Performance Indexes ◽  
Design Variables ◽  
Relationship Of

A reliability oriented design approach for mechanical or structural components is implemented primarily based on strength—stress interference (SSI) theory. This paper demonstrates a principle for combining SSI theory and an optimization technique for developing a reliability-based optimum design for mechanical problems. The independently paired information (strength and stress distributions) are basic while progressing reliability design. For a complex system, the independently paired information sometimes is not easily clarified due to the structural complexity or the coupled relationship of the loads. To treat these problems, the paper proposes to express the independently paired information from the viewpoint of supply-requirement of a design in performance. The supply (provided by a design) is analogized to the strength as well as the requirement (requested by the customer) to the stress. Based on the viewpoint of supply-requirement, the paper presents four types of performance-related reliability measurement to fulfil reliability design for mechanical problems. The reliability measurements are derived according to the related design variables that formulate the performance indexes. Next, the designed problem expressed with probabilistic formulation is transformed into an unconstrained minimization problem subjected to the constraints of the performance needs and its reliability target. Genetic algorithms (GAs) are used to find the optimal solution for the reliability design problem. The related theories and an example of design are reported in this paper to depict the proposed method.

Optimum design of weaving structure of 3-D woven fabric composites by using genetic algorithms

1995 ◽  
Vol 32 (1-4) ◽  
pp. 417-426 ◽  
Author(s):  
Toshihiko Okumura ◽  
Atsushi Yokoyama ◽  
Kanehiro Nagai ◽  
Zenichiro Maekawa
Keyword(s):  
Genetic Algorithms ◽  
Optimum Design ◽  
Woven Fabric ◽  
Woven Fabric Composites ◽  
Fabric Composites

Parametric Optimum Design Using Wide-area Distributed Genetic Algorithms

2002 ◽  
Vol 2002.15 (0) ◽  
pp. 55-56
Author(s):  
Yasunari MIMURA ◽  
Shinobu YOSHIMURA ◽  
Hiroshi KAWAI
Keyword(s):  
Genetic Algorithms ◽  
Optimum Design ◽  
Wide Area ◽  
Distributed Genetic Algorithms

Aerodynamic optimum design of transonic turbine cascades using Genetic Algorithms

1997 ◽  
Vol 6 (2) ◽  
pp. 111-116 ◽  
Author(s):  
Jun Li ◽  
Zhenping Feng ◽  
Jianzhong Chang ◽  
Zuda Shen
Keyword(s):  
Genetic Algorithms ◽  
Optimum Design ◽  
Transonic Turbine ◽  
Turbine Cascades

scholarly journals Development of Genetic Range Genetic Algorithms (Case of Multi-Objective Optimum Design)

2003 ◽  
Vol 69 (686) ◽  
pp. 2707-2713 ◽  
Author(s):  
Masao ARAKAWA ◽  
Hirotaka NAKAYAMA ◽  
Hiroshi ISHIKAWA
Keyword(s):  
Genetic Algorithms ◽  
Optimum Design ◽  
Multi Objective

Flexible optimum design of a bracing system for façade design using multiobjective Genetic Algorithms

2013 ◽  
Vol 32 ◽  
pp. 80-87 ◽  
Author(s):  
James N. Richardson ◽  
Guy Nordenson ◽  
Rebecca Laberenne ◽  
Rajan Filomeno Coelho ◽  
Sigrid Adriaenssens
Keyword(s):  
Genetic Algorithms ◽  
Optimum Design ◽  
Multiobjective Genetic Algorithms ◽  
Bracing System
Sign in / Sign up

Export Citation Format

Share Document