Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Alper Döyen"'
Autor:
Alper Döyen, Necati Aras
Publikováno v:
Networks and Spatial Economics. 19:1031-1068
In this study, a two-stage stochastic integer programming model is developed with a centralized planning perspective to simultaneously address mitigation and response decisions in humanitarian logistics, where the mitigation decisions involve both bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1da82aee1efce2dd2966b704ecc775f
https://doi.org/10.1007/s11067-019-9441-6
https://doi.org/10.1007/s11067-019-9441-6
Examination timetabling problem (ETP) is one of the hardest administrative tasks that has to be undertaken at each semester in all faculties. Although the major structure of the problem remains intact, requirements may change from faculty to faculty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::092bdf69a92ecc2e3a0ff3999f3afcf9
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/24622
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/24622
Publikováno v:
Computers & Industrial Engineering. 79:18-26
Teaching assistants (TAs), together with the senior academic staff, are the centerpiece of university education. TAs are primarily graduate students and they undertake many of the academic and administrative tasks. These tasks are assigned at the beg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04cdee43869b3762a36a097e4727ff9b
https://doi.org/10.1016/j.cie.2014.10.004
https://doi.org/10.1016/j.cie.2014.10.004
Publikováno v:
Optimization Letters. 6:1123-1145
We develop a two-stage stochastic programming model for a humanitarian relief logistics problem where decisions are made for pre- and post-disaster rescue centers, the amount of relief items to be stocked at the pre-disaster rescue centers, the amoun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb66bb60913e04b9099f876f0f89202c
https://doi.org/10.1007/s11590-011-0421-0
https://doi.org/10.1007/s11590-011-0421-0
Autor:
Alper Döyen, Orhan Engin
Publikováno v:
Volume: 8, Issue: 1 12-27
Doğuş Üniversitesi Dergisi
Doğuş Üniversitesi Dergisi
The n-job, m-machine flow shop scheduling problem is one of the most general job scheduling problems. This study deals with the criteria of makespan minimization for the flow shop scheduling problem. Artificial Immune Systems AIS are new intelligent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7cb292d4a980d1febcf7ca37d514163
https://doi.org/10.31671/dogus.2019.238
https://doi.org/10.31671/dogus.2019.238
Autor:
Alper DÖYEN, Orhan ENGİN
Publikováno v:
Doğuş Üniversitesi Dergisi, Vol 8, Iss 1, Pp 12-27 (2007)
The n-job, m-machine flow shop scheduling problem is one of the most general job scheduling problems. This study deals with the criteria of makespan minimization for the flow shop scheduling problem. Artificial Immune Systems (AIS) are new intelligen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::2a153c75fef3689542658f86849cf467
http://journal.dogus.edu.tr/index.php/duj/article/view/95
http://journal.dogus.edu.tr/index.php/duj/article/view/95
Autor:
Alper Döyen, Orhan Engin
Publikováno v:
Future Generation Computer Systems. 20:1083-1095
Artificial immune system (AIS) is an intelligent problem-solving technique that has been used in scheduling problems for about 10 years. AIS are computational systems inspired by theoretical immunology, observed immune functions, principles and mecha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6783e538e8d98a9e917ebf523ba45028
https://doi.org/10.1016/j.future.2004.03.014
https://doi.org/10.1016/j.future.2004.03.014
In recent years, most researchers have focused on methods which mimic natural processes in problem solving. These methods are most commonly termed “nature-inspired” methods. Ant colony optimization (ACO) is a new and encouraging group of these al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d6ac798588568ef6f2b208356a7f68f
https://avesis.gazi.edu.tr/publication/details/60a557ed-91db-4d4e-b5bf-f0811c68b2e7/oai
https://avesis.gazi.edu.tr/publication/details/60a557ed-91db-4d4e-b5bf-f0811c68b2e7/oai