A comparative review of meta-heuristic approaches to optimize the SLA violation costs for dynamic execution of cloud services
暂无分享,去创建一个
[1] Shang Gao,et al. Comparative Analysis of Meta-Heuristic Algorithms for Solving Optimization Problems , 2018 .
[2] Long Chen,et al. Global replacement-based differential evolution with neighbor-based memory for dynamic optimization , 2018, Applied Intelligence.
[3] Xuejie Zhang,et al. Dynamic fair allocation of multiple resources with bounded number of tasks in cloud computing systems , 2015, Multiagent Grid Syst..
[4] Zong Woo Geem,et al. A New Heuristic Optimization Algorithm: Harmony Search , 2001, Simul..
[5] Seema Bawa,et al. ACO based optimized scheduling algorithm for computational grids , 2007 .
[6] Laith Mohammad Abualigah,et al. Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering , 2018, Studies in Computational Intelligence.
[7] Gao-Wei Yan,et al. A Novel Optimization Algorithm Based on Atmosphere Clouds Model , 2013, Int. J. Comput. Intell. Appl..
[8] Xin-She Yang,et al. Bat algorithm for multi-objective optimisation , 2011, Int. J. Bio Inspired Comput..
[9] Laith Mohammad Abualigah,et al. A hybrid strategy for krill herd algorithm with harmony search algorithm to improve the data clustering , 2018, Intell. Decis. Technol..
[10] Russell C. Eberhart,et al. A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.
[11] Albert Y. Zomaya,et al. Author manuscript, published in "Journal of Parallel and Distributed Computing (2011)" A Parallel Bi-objective Hybrid Metaheuristic for Energy-aware Scheduling for Cloud Computing Systems , 2011 .
[12] Dervis Karaboga,et al. A comprehensive survey: artificial bee colony (ABC) algorithm and applications , 2012, Artificial Intelligence Review.
[13] Seema Bawa,et al. Generalized Ant Colony Optimizer: swarm-based meta-heuristic algorithm for cloud services execution , 2018, Computing.
[14] Rainer Palm,et al. Particle swarm against market-based optimisation for obstacle avoidance , 2013 .
[15] Dervis Karaboga,et al. A novel clustering approach: Artificial Bee Colony (ABC) algorithm , 2011, Appl. Soft Comput..
[16] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[17] Abdolreza Hatamlou,et al. Black hole: A new heuristic optimization approach for data clustering , 2013, Inf. Sci..
[18] Mohamed Othman,et al. Simulated annealing approach to cost-based multi- quality of service job scheduling in cloud computing enviroment , 2014 .
[19] Madasu Hanmandlu,et al. New evolutionary optimization method based on information sets , 2018, Applied Intelligence.
[20] Qing Ling,et al. A Differential Evolution with Simulated Annealing Updating Method , 2006, 2006 International Conference on Machine Learning and Cybernetics.
[21] Amir Hossein Gandomi,et al. Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems , 2011, Engineering with Computers.
[22] G. Di Caro,et al. Ant colony optimization: a new meta-heuristic , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[23] Kousik Dasgupta,et al. Load Balancing in Cloud Computing using Stochastic Hill Climbing-A Soft Computing Approach , 2012 .
[24] Na Zhang,et al. Ant colony algorithm for satellite control resource scheduling problem , 2018, Applied Intelligence.
[25] Fumiaki Mitsugi,et al. Rozwój metody sterylizacji gleby za pomoca{ogonek} ozonu i wskazanie jej biomedycznych zastosowań , 2012 .
[26] Julie Greensmith,et al. The Deterministic Dendritic Cell Algorithm , 2008, ICARIS.
[27] L. D. Dhinesh Babu,et al. Honey bee behavior inspired load balancing of tasks in cloud computing environments , 2013, Appl. Soft Comput..
[28] F. Wilcoxon. Individual Comparisons by Ranking Methods , 1945 .
[29] Rajkumar Buyya,et al. A Particle Swarm Optimization-Based Heuristic for Scheduling Workflow Applications in Cloud Computing Environments , 2010, 2010 24th IEEE International Conference on Advanced Information Networking and Applications.
[30] Qinghai Bai,et al. Analysis of Particle Swarm Optimization Algorithm , 2010, Comput. Inf. Sci..
[31] Schahram Dustdar,et al. Data-driven and automated prediction of service level agreement violations in service compositions , 2013, Distributed and Parallel Databases.
[32] Bo Cheng. Hierarchical Cloud Service Workflow Scheduling Optimization Schema Using Heuristic Generic Algorithmg , 2012 .
[33] Adel Nadjaran Toosi,et al. Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applications , 2012, Artificial Intelligence Review.
[34] Xin Yao,et al. Evolutionary programming made faster , 1999, IEEE Trans. Evol. Comput..
[35] Xin-She Yang,et al. Swarm Intelligence and Bio-Inspired Computation , 2013 .
[36] Marian Gheorghe,et al. A Novel Membrane Algorithm Based on Particle Swarm Optimization for Solving Broadcasting Problems , 2012, J. Univers. Comput. Sci..
[37] Ali Najafi,et al. A hybrid gene selection algorithm for microarray cancer classification using genetic algorithm and learning automata , 2017 .
[38] Pan Zheng,et al. Multi-Objective Evolutionary Algorithm Based on Decomposition for Energy-aware Scheduling in Heterogeneous Computing Systems , 2017, J. Univers. Comput. Sci..
[39] Xin-She Yang,et al. A literature survey of benchmark functions for global optimisation problems , 2013, Int. J. Math. Model. Numer. Optimisation.
[40] Xin-She Yang,et al. Flower pollination algorithm: A novel approach for multiobjective optimization , 2014, ArXiv.
[41] Seema Bawa,et al. The cloud computing adoption in higher learning institutions in Kenya: Hindering factors and recommendations for the way forward , 2019, Telematics Informatics.
[42] Fei Liu,et al. An Improved Algorithm Based on NSGA-II for Cloud PDTs Scheduling , 2014, J. Softw..
[43] Yujin Lim,et al. Optimization Approach for Resource Allocation on Cloud Computing for IoT , 2016, Int. J. Distributed Sens. Networks.
[44] Emile H. L. Aarts,et al. Simulated Annealing: Theory and Applications , 1987, Mathematics and Its Applications.
[45] Andrew Lewis,et al. Grey Wolf Optimizer , 2014, Adv. Eng. Softw..
[46] Laith Mohammad Abualigah,et al. Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering , 2017, The Journal of Supercomputing.
[47] Seema Bawa,et al. Virtualization of Large-Scale Data Storage System to Achieve Dynamicity and Scalability in Grid Computing , 2012 .
[48] Gaurav Dhiman,et al. Spotted hyena optimizer: A novel bio-inspired based metaheuristic technique for engineering applications , 2017, Adv. Eng. Softw..
[49] Laith Mohammad Abualigah,et al. APPLYING GENETIC ALGORITHMS TO INFORMATION RETRIEVAL USING VECTOR SPACE MODEL , 2015 .
[50] A.A. Kishk,et al. Invasive Weed Optimization and its Features in Electromagnetics , 2010, IEEE Transactions on Antennas and Propagation.
[51] John R. Koza,et al. Genetic programming as a means for programming computers by natural selection , 1994 .
[52] Mohammed Azmi Al-Betar,et al. Gene selection for cancer classification by combining minimum redundancy maximum relevancy and bat-inspired algorithm , 2017, Int. J. Data Min. Bioinform..
[53] Laith Mohammad Abualigah,et al. Hybrid clustering analysis using improved krill herd algorithm , 2018, Applied Intelligence.
[54] Eric Michielssen,et al. Genetic algorithm optimization applied to electromagnetics: a review , 1997 .
[55] R. Eberhart,et al. Empirical study of particle swarm optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[56] Gábor Fazekas,et al. Dynamic Resource Allocation in Cloud Computing , 2017, Acta Polytechnica Hungarica.
[57] Schahram Dustdar,et al. SLA-Based Management of Human-Based Services in Business Processes for Socio-Technical Systems , 2017, Business Process Management Workshops.
[58] N. Siddique,et al. Central Force Optimization , 2017 .
[59] Marco Dorigo,et al. Ant colony optimization theory: A survey , 2005, Theor. Comput. Sci..
[60] Ponnuthurai Nagaratnam Suganthan,et al. Problem Definitions and Evaluation Criteria for CEC 2015 Special Session on Bound Constrained Single-Objective Computationally Expensive Numerical Optimization , 2015 .