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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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A discrete harmony search algorithm for the economic lot scheduling problem with power of two policy 

Tasgetiren, M.F.; Bulut, O.; Fadiloglu, M.M. (2012 IEEE Congress on Evolutionary Computation, CEC 2012, 2012)
In this paper, we present a problem specific discrete harmony search (DHS) algorithms to solve the economic lot scheduling problem (ELSP) under the extended basic period (EBP) approach and power-of-two (PoT) policy. In ...
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A variable iterated greedy algorithm with differential evolution for solving no-idle flowshops 

Tasgetiren, M.F.; Pan, Q.K.; Suganthan, P.N.; Buyukdagli, O. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012)
In this paper, we present a variable iterated greedy algorithm where its parameters (basically destruction size and probability of whether or not to apply the iterated greedy algorithm to an individual) are optimized by ...
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Solving fuzzy job-shop scheduling problem by a hybrid PSO algorithm 

Li, J.; Pan, Q.K.; Suganthan, P.N.; Tasgetiren, M.F. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012)
This paper proposes a hybrid particle swarm optimization (PSO) algorithm for solving the job-shop scheduling problem with fuzzy processing times. The objective is to minimize the maximum fuzzy completion time, i.e., the ...
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A DE Based Variable Iterated Greedy Algorithm for the No-Idle Permutation Flowshop Scheduling Problem with Total Flowtime Criterion 

Tasgetiren, M.F.; Pan, Q.K.; Wang, L.; Chen, A.H.L. (SPRINGER-VERLAG BERLIN, 2012)
In this paper, we present a variable iterated greedy (vIGP_DE) algorithm where its parameters (basically destruction size and cooling parameter for the simulated annealing type of acceptance criterion) are optimized by the ...
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A Discrete Harmony Search Algorithm for the Economic Lot Scheduling Problem with Power of Two Policy 

Tasgetiren, M.F.; Bulut, O.; Fadiloglu, M.M. (IEEE, 2012)
In this paper, we present a problem specific discrete harmony search (DHS) algorithms to solve the economic lot scheduling problem (ELSP) under the extended basic period (EBP) approach and power-of-two (PoT) policy. In ...
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A Discrete Artificial Bee Colony Algorithm for the Traveling Salesman Problem with Time Windows 

Karabulut, K.; Tasgetiren, M.F. (IEEE, 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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A Genetic Algorithm for the Economic Lot Scheduling Problem under Extended Basic Period Approach and Power-of-Two Policy 

Bulut, O.; Tasgetiren, M.F.; Fadiloglu, M.M. (SPRINGER-VERLAG BERLIN, 2012)
In this study, we propose a genetic algorithm (GA) for the economic lot scheduling problem (ELSP) under extended basic period (EBP) approach and power-of-two (PoT) policy. The proposed GA employs a multi-chromosome solution ...
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A Dynamic Berth Allocation Problem with Priority Considerations under Stochastic Nature 

Guldogan, E.U.; Bulut, O.; Tasgetiren, M.F. (SPRINGER-VERLAG BERLIN, 2012)
Stochastic nature of vessel arrivals and handling times adds to the complexity of the well-known NP-hard berth allocation problem. To aid real decision-making under customer differentiations, a dynamic stochastic model ...
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A Variable Iterated Greedy Algorithm with Differential Evolution for Solving No-Idle Flowshops 

Tasgetiren, M.F.; Pan, Q.K.; Suganthan, P.N.; Buyukdagli, O. (SPRINGER-VERLAG BERLIN, 2012)
In this paper, we present a variable iterated greedy algorithm where its parameters (basically destruction size and probability of whether or not to apply the iterated greedy algorithm to an individual) are optimized by ...
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Tasgetiren, M.F. (11)
Pan, Q.K. (5)Bulut, O. (4)Suganthan, P.N. (4)Fadiloglu, M.M. (3)Buyukdagli, O. (2)Karabulut, K. (2)Chen, A.H.L. (1)Guldogan, E.U. (1)Li, J. (1)... View MoreDate Issued
2012 (11)
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