In this work, population employment processes are studied. The systems of regulation of employment processes have been researched and a future issue has been set. An analysis of available software products is presented. The method of optimization using genetic algorithms was selected and based on the research of methods used in employment processes. An improved genetic algorithm modification for a practical problem is. Test results are obtained for the proposed genetic algorithm. The stages of development of the software complex of coordination of employment processes are presented. The working process of the developed software product is mentioned in detail. The software product was tested in Samarkand city and Kattakorgan city of Samarkand province.

1.
Axatov
A.R.
,
Nurmamatov
M.Q.
,
Nazarov
F.M.
2022
. “
Mathematical Models of Coordination of Population Employment in the Labor Market
” //
Ra journal of applied research. India
/ – Vol.
8
, Issue
2
. – Pp.
111
119
. DOI:
2.
Lin
F. T.
,
2001
. “A job shop scheduling problem with fuzzy processing times”
Proceedings of International Conference on Computational Science Part 1
,
Berlin Heidelberg
,
Springer
, pp.
409
418
.
3.
Nurmamatov
M.Q.
2022
. “
Intellectual modeling of population employment in the labor market
” //
International Journal of Computer Science Engineering and Information Technology Research. India/
-Vol.
12
, Issue
1
. – Pp.
109
113
. DOI:
4.
Zhang
Chaoyong
,
Rao
Yunqing
,
Li
Peigen
.
2004
. “
An improved genetic algorithm for the job shop scheduling problem
,”
China Mechanical Engineering
, vol.
15
(
23
), pp.
2149
2153
.
5.
Pistikopoulos
E. N.
,
1995
. “
Uncertainty in process design and operation
,”
Computer and Chemical Engineering
, vol.
19
, pp.
553
563
.
6.
Masatoshi
Sakawa
and
Ryo
Kubota
,
2000
. “
Fuzzy programming for multiobjective job shop scheduling with fuzzy processing time and fuzzy duedate through genetic algorithm
,”
European Journal of Operational Research
, vol.
120
, pp.
393
407
.
7.
Wang
C. Y.
and
Wang
D. W.
,
2002
. “
The single machine ready time scheduling problem with fuzzy processing times
,”
Fuzzy Sets and Systems
, vol.
127
(
2
), pp.
117
129
.
8.
Peng
J.
and
Liu
B. D.
,
2004
. “
Parallel machine scheduling models with fuzzy processing times
,”
Information Sciences
, vol.
164
(
1
), pp.
1
18
.
9.
Wu
Y.
and
Wang
D. W.
,
1998
. “
Single machine earliness/ tardiness scheduling with fuzzy interval numbers of processing times using simulated annealing
,”
Information and Control
, vol.
27
(
5
), pp.
394
400
.
10.
Nurmamatov
M.Q.
2022
. “
Improving labor relations based on intellectual modeling of employment in the labor market
”,
The Peerian Journal. Czechia
/ – Vol.
5
. -pp.
31
35
.
11.
Wang
C. Y.
,
Gao
L.
and
Wang
D. W.
,
1999
. “
Scheduling problems with fuzzy processing times
,”
Journal of Systems Engineering
, vol.
14
(
3
), pp.
238
242
.
12.
Tang
G. C.
,
Zhang
F.
and
Luo
S. C.
,
1999
. “
Some properties of a scheduling problem with fuzzy processing times
,”
OR Transactions
, vol.
3
(
4
), pp.
84
94
.
13.
Wang
C. Y.
and
Wang
D. W.
,
2000
. “
Single machine ready time scheduling with fuzzy processing time
,”
Control and Decision
, vol.
15
(
1
), pp.
71
74
.
14.
S. K.
Fazilov
,
K. S.
Abdiyeva
and
O. R.
Yusupov
, "Improvement of Image Enhancement Technique for Mammography Images,"
2023 IEEE East-West Design & Test Symposium (EWDTS)
,
Batumi
,
Georgia
,
2023
, pp.
1
5
, doi: .
15.
Sh. Kh
Fazilov
,
Kh.S.
Abdieva
,
O.R.
Yusupov
.
Patch-based lesion detection using deep learning method on small mammography dataset
.
Artificial Intelligence, Blockchain, Computing and Security Volume 2: Proceedings of the International Conference on Artificial Intelligence, Blockchain, Computing and Security (ICABCS 2023)
,
Gr. Noida
,
UP, India
, 24 - 25 February
2023
, pp.
643
647
.
16.
S. K.
Fazilov
,
O. R.
Yusupov
and
K. S.
Abdiyeva
,
"An Algorithm for Evaluating the Parameters Characterizing the Quality of the Image Field of the Iris by the Principal component analysis method
,"
2022 International Conference on Information Science and Communications Technologies (ICISCT), Tashkent, Uzbekistan
,
2022
, pp.
1
4
, doi: .
17.
S. K.
Fazilov
and
O. R.
Yusupov
, "Improvement of the Daugman Method for Nonreference Assessment of Image Quality in Iris Biometric Technology,"
2021 IEEE East-West Design & Test Symposium (EWDTS)
,
Batumi
,
Georgia
,
2021
, pp.
1
4
, doi: .
18.
S. K.
Fazilov
and
O. R.
Yusupov
, "Algorithm for Extraction of the Iris Region in an Eye Image,"
2019 IEEE East-West Design & Test Symposium (EWDTS)
,
Batumi
,
Georgia
,
2019
, pp.
1
5
, doi: .
19.
Akhatov
A.R.
,
Nurmamatov
M.Q.
,
Mardonov
D.
2020
. “
Mathematical models of the process of monitoring the social status and employment of the population
”,
Scientific and technical journal of the Fergana Polytechnic Institute.
- Volume
24
, No.
5
. -pp.
150
157
.
20.
Akhatov
A.R.
,
Nurmamatov
M.Q.
,
Mardonov
D.R.
,
Nazarov
F.M.
2021
. “
Improvement of mathematical models of the rating point system of employment
”,
Scientific journal Samarkand state university.
No.
1
(
125
). -pp.
100
107
.
21.
Nurmamatov
M.Q.
2022
. “
Modern methods of increasing the efficiency of the labor market
”,
National news agency of Uzbekistan.
-pp.
373
383
.
22.
Akhatov
A.R.
,
Nurmamatov
M.Q.
2020
. “
Development of models for monitoring the social situation of each person and forecasting population conditions based on personal data
”,
Descendants of Muhammad al-Khorazmi.
No.
2
(
12
). –pp.
6
10
.
23.
Gu
F.
,
Chen
H. P.
amd
Lu
B. Y.
,
2005
. “
Particle swarm optimization for flexible job shop scheduling
,”
Systems Engineering
, vol.
23
(
9
), pp.
20
23
.
24.
Peter
B.
and
Dong
Chen
,
1999
. “
An effective approach for job-shop scheduling with uncertain processing requirements
,”
IEEE Transaction on Robotics and Automation
, vol.
15
(
2
), pp.
328
339
.
This content is only available via PDF.
You do not currently have access to this content.