scholarly journals Optimization of Function by using a New MATLAB based Genetic Algorithm Procedure

2013 ◽  
Vol 61 (15) ◽  
pp. 1-5 ◽  
Author(s):  
G. N.Purohit ◽  
Arun Mohan Sherry ◽  
Manish Saraswat
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithm Procedure

Manufacturing cell scheduling using genetic algorithms

2000 ◽  
Vol 214 (2) ◽  
pp. 159-163 ◽  
Author(s):  
G C Onwubolu
Keyword(s):  
Genetic Algorithm ◽  
Flow Shop ◽  
Performance Measure ◽  
Scheduling Problems ◽  
Mean Flow ◽  
Manufacturing Cells ◽  
Data Set ◽  
Manufacturing Cell ◽  
Combinatorial Optimization Problems ◽  
Genetic Algorithm Procedure

This paper presents a new approach to the scheduling of manufacturing cells which have flow-shop configuration. The approach is based on the genetic algorithm, which is a meta-heuristic for solving combinatorial optimization problems. The performance measure demonstrated in this paper is the optimization of the mean flow time. The procedure developed automatically computes the make-span. A flexible manufacturing cell schedule is used as a case study. The genetic algorithm procedure was used to solve a published data set for simple scheduling problems. The genetic algorithm procedure was further used to solve large flow-shop scheduling problems having machine sizes of up to 30 and job sizes of up to 100 in very reasonable computation time. The results show that the genetic-algorithm-based heuristic is promising for scheduling manufacturing cells.

Genetic algorithm procedure for linear array failure correction

2000 ◽  
Vol 36 (3) ◽  
pp. 196 ◽  
Author(s):  
J.A. Rodríguez ◽  
F. Ares ◽  
E. Moreno ◽  
G. Franceschetti
Keyword(s):  
Genetic Algorithm ◽  
Linear Array ◽  
Genetic Algorithm Procedure

The ground state energy of the ±J spin glass from the genetic algorithm

1994 ◽  
Vol 4 (9) ◽  
pp. 1281-1285 ◽  
Author(s):  
P. Sutton ◽  
D. L. Hunter ◽  
N. Jan
Keyword(s):  
Genetic Algorithm ◽  
Spin Glass ◽  
Ground State Energy ◽  
Ground State ◽  
State Energy
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