A new approach based on particle swarm optimization algorithm for solving data allocation problem
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[1] U. Tosun,et al. A robust Island Parallel Genetic Algorithm for the Quadratic Assignment Problem , 2013 .
[2] Umut Tosun,et al. A New Recombination Operator for the Genetic Algorithm Solution of the Quadratic Assignment Problem , 2014, ANT/SEIT.
[3] Ishfaq Ahmad,et al. Evolutionary Algorithms for Allocating Data in Distributed Database Systems , 2004, Distributed and Parallel Databases.
[4] Qinghai Bai,et al. Analysis of Particle Swarm Optimization Algorithm , 2010, Comput. Inf. Sci..
[5] Wali Khan Mashwani,et al. A decomposition-based hybrid multiobjective evolutionary algorithm with dynamic resource allocation , 2012, Appl. Soft Comput..
[6] Tansel Dökeroglu,et al. Heuristic Algorithms for Fragment Allocation in a Distributed Database System , 2012, ISCIS.
[7] Bharadwaj Veeravalli,et al. Practically Realizable Efficient Data Allocation and Replication Strategies for Distributed Databases with Buffer Constraints , 2006, IEEE Transactions on Parallel and Distributed Systems.
[8] Tolga Ulus,et al. Heuristic Approach to Dynamic Data Allocation in Distributed Database Systems , 2003 .
[9] Man Hon Wong,et al. Data Allocation in Scalable Distributed Database Systems Based on Time Series Forecasting , 2013, 2013 IEEE International Congress on Big Data.
[10] Umut Tosun. Distributed database design using evolutionary algorithms , 2014, Journal of Communications and Networks.
[11] Rahul Simha,et al. Experimental evaluation of dynamic data allocation strategies in a distributed database with changing workloads , 1995, CIKM '95.
[12] Chou-Yuan Lee,et al. A Heuristic Genetic Algorithm for Solving Resource Allocation Problems , 2003, Knowledge and Information Systems.
[13] Panagiotis Tzionas,et al. A robust approach for multi-agent natural resource allocation based on stochastic optimization algorithms , 2014, Appl. Soft Comput..
[14] Tansel Dokeroglu,et al. Hybrid teaching–learning-based optimization algorithms for the Quadratic Assignment Problem , 2015 .
[15] Halife Kodaz,et al. A new hybrid method based on Particle Swarm Optimization, Ant Colony Optimization and 3-Opt algorithms for Traveling Salesman Problem , 2015, Appl. Soft Comput..
[16] Ali Safari Mamaghani,et al. A Novel Evolutionary Algorithm for Solving Static Data Allocation Problem in Distributed Database Systems , 2010, 2010 Second International Conference on Network Applications, Protocols and Services.
[17] Seyed Mohammad Taghi Rouhani Rankoohi,et al. A new ant colony optimization based algorithm for data allocation problem in distributed databases , 2009, Knowledge and Information Systems.
[18] Rong Chen,et al. A novel parallel hybrid intelligence optimization algorithm for a function approximation problem , 2012, Comput. Math. Appl..
[19] Zhonghua Li,et al. RFID tag oriented data allocation method using artificial immune network , 2015, The 27th Chinese Control and Decision Conference (2015 CCDC).
[20] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[21] Narayan Rangaraj,et al. Mathematical models and empirical analysis of a simulated annealing approach for two variants of the static data segment allocation problem , 2016, Networks.
[22] Mesut Gündüz,et al. A recombination-based hybridization of particle swarm optimization and artificial bee colony algorithm for continuous optimization problems , 2013, Appl. Soft Comput..
[23] T. Koopmans,et al. Assignment Problems and the Location of Economic Activities , 1957 .
[24] D L Mann,et al. Introductory Statistics , 1991 .
[25] I Abdalla Hassan. A NEW DATA RE-ALLOCATION MODEL FOR DISTRIBUTED DATABASE SYSTEMS , 2012 .
[26] Yue Shi,et al. A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[27] A. A. Amer,et al. A heuristic approach to re-allocate data fragments in DDBSs , 2012, 2012 International Conference on Information Technology and e-Services.