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A discrete artificial bee colony algorithm for the permutation flowshop scheduling problem with sequence-dependent setup times 

Ince, Y.; Karabulut, K.; Tasgetiren, M.F.; Pan, Q.K. (2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)
A discrete artificial bee colony (DABC) algorithm for the permutation flowshop scheduling problem with sequence-dependent setup times (PFSP-SDST) is presented in this paper. PFSP-SDST is an important problem that has ...
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A variable iterated greedy algorithm for the traveling salesman problem with time windows 

Karabulut, K.; Tasgetiren, M.F. (Information Sciences, 2014)
This paper presents a variable iterated greedy algorithm for solving the traveling salesman problem with time windows (TSPTW) to identify a tour minimizing the total travel cost or the makespan, separately. The TSPTW has ...
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A populated iterated greedy algorithm with inver-over operator for traveling salesman problem 

Tasgetiren, M.F.; Buyukdagli, O.; Kizilay, D.; Karabulut, K. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013)
In this study, we propose a populated iterated greedy algorithm with an Inver-Over operator to solve the traveling salesman problem. The iterated greedy (IG) algorithm is mainly based on the central procedures of destruction ...
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Null control in linear antenna arrays with ensemble differential evolution 

Secmen, M.; Tasgetiren, M.F.; Karabulut, K. (Proceedings of the 2013 IEEE Symposium on Differential Evolution, SDE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013, 2013)
This paper describes a synthesis method for null insertion in linear antenna array geometries by using newly proposed ensemble differential evolution (DE) algorithm. The given ensemble DE algorithm uses the advantages of ...
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A discrete artificial bee colony algorithm for the traveling salesman problem with time windows 

Karabulut, K.; Tasgetiren, M.F. (2012 IEEE Congress on Evolutionary Computation, CEC 2012, 2012)
This paper presents a discrete artificial bee colony algorithm (DABC) for solving the traveling salesman problem with time windows (TSPTW) in order to minimize the total travel cost of a given tour. TSPTW is a difficult ...
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An evolution strategy approach to the team orienteering problem with time windows 

Karabulut, K.; Tasgetiren, M.F. (PERGAMON-ELSEVIER SCIENCE LTD, 2020)
The team orienteering problem with time windows (TOPTW) is a highly constrained NP-hard problem having many practical applications in vehicle routing and production scheduling. The TOPTW is an extended variant of the ...
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A Discrete Artificial Bee Colony Algorithm for the Permutation Flowshop Scheduling Problem with Sequence-Dependent Setup Times 

Ince, Y.; Karabulut, K.; Tasgetiren, M.F.; Pan, Q.K. (IEEE, 2016)
A discrete artificial bee colony ( DABC) algorithm for the permutation flowshop scheduling problem with sequence-dependent setup times (PFSP-SDST) is presented in this paper. PFSP-SDST is an important problem that has ...
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A variable iterated greedy algorithm for the traveling salesman problem with time windows 

Karabulut, K.; Tasgetiren, M.F. (ELSEVIER SCIENCE INC, 2014)
This paper presents a variable iterated greedy algorithm for solving the traveling salesman problem with time windows (TSPTW) to identify a tour minimizing the total travel cost or the makespan, separately. The TSPTW has ...
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A Discrete Artificial Bee Colony Algorithm for the Team Orienteering Problem with Time Windows 

Karabulut, K.; Tasgetiren, M.F. (IEEE, 2013)
This paper presents a discrete artificial bee colony algorithm (DABC) for solving the team orienteering problem with time windows (TOPTW). The proposed algorithm employs a destruction and construction procedure to generate ...
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Null Control in Linear Antenna Arrays with Ensemble Differential Evolution 

Secmen, M.; Tasgetiren, M.F.; Karabulut, K. (IEEE, 2013)
This paper describes a synthesis method for null insertion in linear antenna array geometries by using newly proposed ensemble differential evolution (DE) algorithm. The given ensemble DE algorithm uses the advantages of ...
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Karabulut, K. (13)
Tasgetiren, M.F. (13)
Buyukdagli, O. (2)Ince, Y. (2)Kizilay, D. (2)Pan, Q.K. (2)Secmen, M. (2)Date Issued2013 (5)2012 (2)2014 (2)2016 (2)2020 (2)Has File(s)No (13)

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