Segui
Alper Hamzadayı
Alper Hamzadayı
Van Yüzüncü Yıl Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü
Email verificata su yyu.edu.tr
Titolo
Citata da
Citata da
Anno
Testing the performance of teaching–learning based optimization (TLBO) algorithm on combinatorial problems: Flow shop and job shop scheduling cases
A Baykasoğlu, A Hamzadayi, SY Köse
Information Sciences 276, 204-218, 2014
1952014
A genetic algorithm based approach for simultaneously balancing and sequencing of mixed-model U-lines with parallel workstations and zoning constraints
A Hamzadayi, G Yildiz
Computers & industrial engineering 62 (1), 206-215, 2012
912012
A simulated annealing algorithm based approach for balancing and sequencing of mixed-model U-lines
A Hamzadayi, G Yildiz
Computers & Industrial Engineering 66 (4), 1070-1084, 2013
732013
Modeling and solving static m identical parallel machines scheduling problem with a common server and sequence dependent setup times
A Hamzadayi, G Yildiz
Computers & Industrial Engineering 106, 287-298, 2017
692017
Greedy randomized adaptive search for dynamic flexible job-shop scheduling
A Baykasoğlu, FS Madenoğlu, A Hamzadayı
Journal of Manufacturing Systems 56, 425-451, 2020
682020
Event driven strategy based complete rescheduling approaches for dynamic m identical parallel machines scheduling problem with a common server
A Hamzadayi, G Yildiz
Computers & Industrial Engineering 91, 66-84, 2016
512016
An effective benders decomposition algorithm for solving the distributed permutation flowshop scheduling problem
A Hamzadayı
Computers & Operations Research 123, 105006, 2020
442020
Hybrid strategy based complete rescheduling approaches for dynamic m identical parallel machines scheduling problem with a common server
A Hamzadayi, G Yildiz
Simulation Modelling Practice and Theory 63, 104-132, 2016
202016
Nested simulated annealing approach to periodic routing problem of a retail distribution system
A Hamzadayi, S Topaloglu, SY Kose
Computers & operations research 40 (12), 2893-2905, 2013
182013
Distributed assembly permutation flow shop problem; Single seekers society algorithm
A Hamzadayı, MA Arvas, A Elmi
Journal of Manufacturing Systems 61, 613-631, 2021
172021
Solving combinatorial optimization problems with single seekers society algorithm
A Hamzadayı, A Baykasoğlu, Ş Akpınar
Knowledge-Based Systems 201, 106036, 2020
162020
Benders decomposition for the mixed no-idle permutation flowshop scheduling problem
T Bektaş, A Hamzadayı, R Ruiz
Journal of Scheduling, 1-11, 2020
122020
Single Seekers Society (SSS): Bringing together heuristic optimization algorithms for solving complex problems
A Baykasoğlu, A Hamzadayi, S Akpinar
Knowledge-Based Systems 165, 53-76, 2019
122019
A simulated annealing approach based simulation-optimisation to the dynamic job-shop scheduling problem
Ç Sel, A Hamzadayı
Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 24 (4), 665-674, 2018
112018
Balancing of mixed-model two-sided assembly lines using teaching-learning based optimization algorithm
A Hamzadayi
Pamukkale University Journal of Engineering Sciences 24 (4), 682-691, 2018
82018
A branch-and-cut approach for the distributed no-wait flowshop scheduling problem
M Avci, MG Avci, A Hamzadayı
Computers & Operations Research 148, 106009, 2022
72022
A comparative study of modeling and solution approaches for the multi-mode resource-constrained discrete time–cost trade-off problem: Case study of an ERP implementation project
G Çakır, K Subulan, ST Yildiz, A Hamzadayı, C Asılkefeli
Computers & Industrial Engineering 169, 108201, 2022
72022
Capability-based machine layout with a matheuristic-based approach
A Baykasoğlu, K Subulan, A Hamzadayı
Expert Systems with Applications 198, 116900, 2022
62022
A hybrid benders decomposition algorithm and new models for the distributed permutation flowshop scheduling problem
H İŞGÜDER, A HAMZADAYI
Avrupa Bilim ve Teknoloji Dergisi, 126-148, 2021
12021
Benders Decomposition Algorithm for Solving the Type-II Simple Assembly Line Balancing Problem with Zoning Restrictions
A HAMZADAYI
Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi 27 (2), 400-415, 2022
2022
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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