A cloud computing based many objective type-2 fuzzy logic system for mobile field workforce area optimization
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Hani Hagras | Gilbert Owusu | Siddhartha Shakya | Ahmed Mohamed | Daniyal M. Al-Ghazzawi | Andrew Starkey | H. Hagras | G. Owusu | A. Starkey | S. Shakya | Ahmed Mohamed
[1] Hani Hagras,et al. Towards the Wide Spread Use of Type-2 Fuzzy Logic Systems in Real World Applications , 2012, IEEE Computational Intelligence Magazine.
[2] Hisao Ishibuchi,et al. Preference-based NSGA-II for many-objective knapsack problems , 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).
[3] Gexiang Zhang,et al. A Many-Objective Evolutionary Algorithm With Enhanced Mating and Environmental Selections , 2015, IEEE Transactions on Evolutionary Computation.
[4] Thomas Hanne,et al. Single and multiobjective optimization of the train staff planning problem using genetic algorithms , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[5] Jerry M. Mendel,et al. Interval Type-2 Fuzzy Logic Systems Made Simple , 2006, IEEE Transactions on Fuzzy Systems.
[6] D. N. Mudaliar,et al. Unraveling Travelling Salesman Problem by genetic algorithm using m-crossover operator , 2013, 2013 International Conference on Signal Processing , Image Processing & Pattern Recognition.
[7] Kai Zhu,et al. Hybrid Genetic Algorithm for Cloud Computing Applications , 2011, 2011 IEEE Asia-Pacific Services Computing Conference.
[8] Hani Hagras,et al. A genetic type-2 fuzzy logic based approach for the optimal allocation of mobile field engineers to their working areas , 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
[9] Mahamod Ismail,et al. A comparison between binary and continuous genetic algorithm for collaborative spectrum optimization in cognitive radio network , 2011, 2011 IEEE Student Conference on Research and Development.
[10] Hani Hagras,et al. A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots , 2004, IEEE Transactions on Fuzzy Systems.
[11] Hani Hagras,et al. A multi-objective genetic type-2 fuzzy logic based system for mobile field workforce area optimization , 2016, Inf. Sci..
[12] Hani Hagras,et al. Embedded Interval Type-2 Neuro-Fuzzy Speed Controller for Marine Diesel Engines , 2006 .
[13] Kalyanmoy Deb,et al. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints , 2014, IEEE Transactions on Evolutionary Computation.
[14] Daqiang Zhang,et al. VCMIA: A Novel Architecture for Integrating Vehicular Cyber-Physical Systems and Mobile Cloud Computing , 2014, Mobile Networks and Applications.
[15] Hisao Ishibuchi,et al. Evolutionary many-objective optimization , 2008, 2008 3rd International Workshop on Genetic and Evolving Systems.
[16] Feng Duan,et al. A multi-objective scheduling strategy based on MOGA in cloud computing environment , 2012, 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems.
[17] Athanasios V. Vasilakos,et al. Mobile Cloud Computing: A Survey, State of Art and Future Directions , 2013, Mobile Networks and Applications.
[18] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[19] Hisao Ishibuchi,et al. Evolutionary many-objective optimization: A short review , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[20] Athanasios V. Vasilakos,et al. TRAC: Truthful auction for location-aware collaborative sensing in mobile crowdsourcing , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.
[21] Jerry M. Mendel,et al. Centroid of a type-2 fuzzy set , 2001, Inf. Sci..
[22] Athanasios V. Vasilakos,et al. MuSIC: Mobility-Aware Optimal Service Allocation in Mobile Cloud Computing , 2013, 2013 IEEE Sixth International Conference on Cloud Computing.
[23] Kalyanmoy Deb,et al. Handling many-objective problems using an improved NSGA-II procedure , 2012, 2012 IEEE Congress on Evolutionary Computation.
[24] Xiaodong Li,et al. A Distance Metric for Evolutionary Many-Objective Optimization Algorithms Using User-Preferences , 2009, Australasian Conference on Artificial Intelligence.
[25] Hani Hagras,et al. Employing Type-2 Fuzzy Logic Systems in the Efforts to Realize Ambient Intelligent Environments [Application Notes] , 2015, IEEE Computational Intelligence Magazine.