Genetic Algorithms:“Non-Smooth” Discrete Optimization

1997 ◽  
pp. 153-173
Author(s):  
Hung T. Nguyen ◽  
Vladik Kreinovich
Keyword(s):  
Genetic Algorithms ◽  
Discrete Optimization

Steady-state genetic algorithms for discrete optimization of trusses

1995 ◽  
Vol 56 (6) ◽  
pp. 979-991 ◽  
Author(s):  
Shyue-Jian Wu ◽  
Pei-Tse Chow
Keyword(s):  
Genetic Algorithms ◽  
Steady State ◽  
Discrete Optimization

Nonlinear Integer, Discrete and Continuous Optimization Using Adaptive Range Genetic Algorithms

1997 ◽  
Author(s):  
Masao Arakawa ◽  
Ichiro Hagiwara
Keyword(s):  
Genetic Algorithms ◽  
Combinatorial Optimization ◽  
Discrete Optimization ◽  
Continuous Optimization ◽  
The Other ◽  
Computational Time ◽  
Test Problems ◽  
Design Variables ◽  
Discrete And Continuous Optimization

Abstract Genetic algorithms are effective algorithms for large scaled combinatorial optimization. They are potentially effective in integer and discrete optimization. However, as they are not well coded to its tedious expression in converting chromosomes to design variables, we need to do some special efforts to overcome these flaws. In the proposed method, it automatically adapts searching ranges according to the situation of the generation. Thus, we are free from these flaws. Moreover, we don’t have to give too many genes to chromosome, we can save computational time and memory and the convergence becomes better. In this paper, we combine the proposed integer and discrete adaptive range genetic algorithms and adaptive real range genetic algorithms which we presented in the previous studies, and present an extended genetic algorithms method. We applied the proposed method to well-known test problems, compare the results with the other methods and show its effectiveness.

Discrete Optimization of Structures Using Genetic Algorithms

1992 ◽  
Vol 118 (5) ◽  
pp. 1233-1250 ◽  
Author(s):  
S. Rajeev ◽  
C. S. Krishnamoorthy
Keyword(s):  
Genetic Algorithms ◽  
Discrete Optimization

Genetic Algorithms in Discrete Optimization of Steel Truss Roofs

1994 ◽  
Vol 8 (3) ◽  
pp. 309-325 ◽  
Author(s):  
Vlasis K. Koumousis ◽  
Panos G. Georgiou
Keyword(s):  
Genetic Algorithms ◽  
Discrete Optimization ◽  
Steel Truss

A Genetic Algorithm for Solving Mixed Discrete Optimization Problems

1993 ◽  
Author(s):  
Zhihang Qian ◽  
Jun Yu ◽  
Ji Zhou
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Discrete Optimization ◽  
High Stability ◽  
Optimization Problems ◽  
Global Optimum ◽  
Optimal Method ◽  
Simple Genetic Algorithms ◽  
Discrete Optimization Problems

Abstract A new optimal method based on genetic algorithms (GAs) is proposed here towards the mixed discrete optimization problems. This method has not only the advantages of high stability and wide adaptability but also a better chance of locating the global optimum. Its efficiency is much higher than that of simple genetic algorithms.

Sign in / Sign up

Export Citation Format

Share Document