Takip et
Alper DÖYEN
Alper DÖYEN
Konya Technical University
ktun.edu.tr üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
A new approach to solve hybrid flow shop scheduling problems by artificial immune system
O Engin, A Döyen
Future generation computer systems 20 (6), 1083-1095, 2004
3622004
A two-echelon stochastic facility location model for humanitarian relief logistics
A Döyen, N Aras, G Barbarosoğlu
Optimization Letters 6 (6), 1123-1145, 2012
2682012
Using ant colony optimization to solve hybrid flow shop scheduling problems
K Alaykýran, O Engin, A Döyen
The international journal of advanced manufacturing technology 35 (5), 541-550, 2007
1852007
Artificial immune systems and applications in industrial problems
O Engin, A DÖYEN
Gazi University Journal of Science 17 (1), 71-84, 2004
462004
On teaching assistant-task assignment problem: A case study
MG Güler, ME Keskin, A Döyen, H Akyer
Computers & Industrial Engineering 79, 18-26, 2015
212015
A new approach to solve flowshop scheduling problems by artificial immune systems
O Engin, A Döyen
Doğuş Üniversitesi Dergisi 8 (1), 12-27, 2011
10*2011
An integrated disaster preparedness model for retrofitting and relief item transportation
A Döyen, N Aras
Networks and Spatial Economics 19 (4), 1031-1068, 2019
92019
A new artificial immune system approach to solve permutation flow shop scheduling problems
A Doyen, O Engin, C Ozkan
Turkish Symposium on Artificial Immune Systems and Neural Networks TAINN 3, 1-3, 2003
82003
Examination timetabling problem with scarce resources: a case study
ME Keskin, A Döyen, H Akyer, MG Güler
European Journal of Industrial Engineering 12 (6), 855-874, 2018
72018
A Goal Programming Approach for Resource Dependent Assembly Line Balancing Problem
Y Atasagun, A Döyen
ICAMƩ’21, 125, 0
1*
A two-stage stochastic programming model for a comprehensive disaster management problem
A Döyen, Y Arda
2013
Two-stage stochastic integer programming models for strategic disaster preparedness
A Döyen, N Aras, Y Arda
2013
Optimization versus metaheuristics in forecasting: A comparative study for energy demand forecast of Turkey
A Döyen, Y Atasagun
ICAMƩ’21, 131, 0
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–13