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

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.

scholarly journals Iterative GA Optimization Scheme for Synthesis of Radiation Pattern of Linear Array Antenna

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Sarayoot Todnatee ◽  
Chuwong Phongcharoenpanich
Keyword(s):  
Genetic Algorithm ◽  
Radiation Pattern ◽  
Linear Array ◽  
Weight Coefficient ◽  
Side Lobe ◽  
Array Element ◽  
Array Antenna ◽  
Side Lobe Level ◽  
Optimization Scheme ◽  
Iterative Optimization

This research has proposed the iterative genetic algorithm (GA) optimization scheme to synthesize the radiation pattern of an aperiodic (nonuniform) linear array antenna. The aim of the iterative optimization is to achieve a radiation pattern with a side lobe level (SLL) of ≤−20 dB. In the optimization, the proposed scheme iteratively optimizes the array range (spacing) and the number of array elements, whereby the array element with the lowest absolute complex weight coefficient is first removed and then the second lowest and so on. The removal (the element reduction) is terminated once the SLL is greater than −20 dB (>−20 dB) and the elemental increment mechanism is triggered. The results indicate that the proposed iterative GA optimization scheme is applicable to the nonuniform linear array antenna and also is capable of synthesizing the radiation pattern with SLL ≤ −20 dB.

scholarly journals Linear Array Pattern Synthesis Using An Improved Multiobjective Genetic Algorithm

2017 ◽  
Vol 26 (4) ◽  
pp. 1048-1059 ◽  
Author(s):  
C. Han ◽  
L. Wang ◽  
Z. Zhang ◽  
J. Xie ◽  
Z. Xing
Keyword(s):  
Genetic Algorithm ◽  
Linear Array ◽  
Pattern Synthesis ◽  
Multiobjective Genetic Algorithm ◽  
Array Pattern

scholarly journals "IMPROVEMENT OF FAR FIELD RADIATION PATTERN OF LINEAR ARRAY ANTENNA USING GENETIC ALGORITHM"

2010 ◽  
Vol 01 (01) ◽  
pp. 23-31 ◽  
Author(s):  
Sudipta Das ◽  
◽  
Somen Bhattacharjee ◽  
Durbadal Mandal ◽  
◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Radiation Pattern ◽  
Linear Array ◽  
Array Antenna ◽  
Far Field ◽  
Field Radiation
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