An efficient and robust bat algorithm with fusion of opposition-based learning and whale optimization algorithm

[1]  Andrew Lewis,et al.  The Whale Optimization Algorithm , 2016, Adv. Eng. Softw..

[2]  Zhijian Wu,et al.  An improved approach of particle swarm optimization and application in data clustering , 2015, Intell. Data Anal..

[3]  Fazhi He,et al.  An asymmetric and optimized encryption method to protect the confidentiality of 3D mesh model , 2019, Adv. Eng. Informatics.

[4]  Kun-Huang Chen,et al.  An improved particle swarm optimization for feature selection , 2011, Intell. Data Anal..

[5]  Yi Zhou,et al.  Dynamic strategy based parallel ant colony optimization on GPUs for TSPs , 2017, Science China Information Sciences.

[6]  Fazhi He,et al.  IBEA-SVM: An Indicator-based Evolutionary Algorithm Based on Pre-selection with Classification Guided by SVM , 2019, Applied Mathematics-A Journal of Chinese Universities.

[7]  Haoran Li,et al.  A Novel Bat Algorithm based on Collaborative and Dynamic Learning of Opposite Population , 2018, 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD)).

[8]  Manar Hosny,et al.  A co-evolutionary framework for adaptive multidimensional data clustering , 2018, Intell. Data Anal..

[9]  Fazhi He,et al.  Quantitative optimization of interoperability during feature-based data exchange , 2015, Integr. Comput. Aided Eng..

[10]  Giulio Rosati,et al.  On the Role of Auditory Feedback in Robot-Assisted Movement Training after Stroke: Review of the Literature , 2013, Comput. Intell. Neurosci..

[11]  Alex Alves Freitas,et al.  Ant colony algorithms for constructing Bayesian multi-net classifiers , 2015, Intell. Data Anal..

[12]  Geert Wets,et al.  PSO driven collaborative clustering: A clustering algorithm for ubiquitous environments , 2011, Intell. Data Anal..

[13]  Fazhi He,et al.  A survey on partitioning models, solution algorithms and algorithm parallelization for hardware/software co-design , 2019, Des. Autom. Embed. Syst..

[14]  Rohit Salgotra,et al.  Application of mutation operators to flower pollination algorithm , 2017, Expert Syst. Appl..

[15]  Weihua Gui,et al.  A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification , 2013, J. Appl. Math..

[16]  Xin Yao,et al.  Evolutionary programming made faster , 1999, IEEE Trans. Evol. Comput..

[17]  Azuraliza Abu Bakar,et al.  Ant colony optimization for text feature selection in sentiment analysis , 2019, Intell. Data Anal..

[18]  Yiteng Pan,et al.  Learning adaptive trust strength with user roles of truster and trustee for trust-aware recommender systems , 2019, Applied Intelligence.

[19]  Alex Alves Freitas,et al.  Instance-based classification with Ant Colony Optimization , 2017, Intell. Data Anal..

[20]  Hossam Faris,et al.  Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems , 2017, Adv. Eng. Softw..

[21]  Qi Liu,et al.  A novel hybrid bat algorithm for solving continuous optimization problems , 2018, Appl. Soft Comput..

[22]  Seyed Mohammad Mirjalili How effective is the Grey Wolf optimizer in training multi-layer perceptrons , 2014, Applied Intelligence.

[23]  Amir Hossein Gandomi,et al.  Chaotic bat algorithm , 2014, J. Comput. Sci..

[24]  Zhijian Wu,et al.  Elite Opposition-Based Differential Evolution for Solving Large-Scale Optimization Problems and Its Implementation on GPU , 2012, 2012 13th International Conference on Parallel and Distributed Computing, Applications and Technologies.

[25]  Yuan Cheng,et al.  Integrating selective undo of feature-based modeling operations for real-time collaborative CAD systems , 2019, Future Gener. Comput. Syst..

[26]  Zhiqiang Chen,et al.  An adaptive genomic difference based genetic algorithm and its application to memetic continuous optimization , 2018, Intell. Data Anal..

[27]  Selim Yilmaz,et al.  A new modification approach on bat algorithm for solving optimization problems , 2015, Appl. Soft Comput..

[28]  Fazhi He,et al.  Service-Oriented Feature-Based Data Exchange for Cloud-Based Design and Manufacturing , 2018, IEEE Transactions on Services Computing.

[29]  Anazida Zainal,et al.  Compact classification of optimized Boolean reasoning with Particle Swarm Optimization , 2012, Intell. Data Anal..

[30]  Zijuan Liu,et al.  A Novel Quantum-Behaved Bat Algorithm with Mean Best Position Directed for Numerical Optimization , 2016, Comput. Intell. Neurosci..

[31]  Xiao Chen,et al.  A parallel and robust object tracking approach synthesizing adaptive Bayesian learning and improved incremental subspace learning , 2019, Frontiers of Computer Science.

[32]  Hong-Zhong Huang,et al.  Fault diagnosis method based on supervised particle swarm optimization classification algorithm , 2018, Intell. Data Anal..

[33]  Wei Cao,et al.  Multi-objective association rule mining with binary bat algorithm , 2016, Intell. Data Anal..

[34]  Mohammed Azmi Al-Betar,et al.  Island bat algorithm for optimization , 2018, Expert systems with applications.

[35]  Crina Grosan,et al.  Feature Selection via Chaotic Antlion Optimization , 2016, PloS one.

[36]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[37]  Yiteng Pan,et al.  A novel region-based active contour model via local patch similarity measure for image segmentation , 2018, Multimedia Tools and Applications.

[38]  Changhe Li,et al.  A Self-Learning Particle Swarm Optimizer for Global Optimization Problems , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[39]  Wenning Hao,et al.  Improving particle swarm optimization: Using neighbor heuristic and Gaussian cloud learning , 2016, Intell. Data Anal..

[40]  M.M.A. Salama,et al.  Opposition-Based Differential Evolution , 2008, IEEE Transactions on Evolutionary Computation.

[41]  Yiteng Pan,et al.  A novel Enhanced Collaborative Autoencoder with knowledge distillation for top-N recommender systems , 2019, Neurocomputing.

[42]  Yuan Cheng,et al.  An optimized RGA supporting selective undo for collaborative text editing systems , 2019, J. Parallel Distributed Comput..

[43]  Xin-She Yang,et al.  New directional bat algorithm for continuous optimization problems , 2017, Expert Syst. Appl..

[44]  Xin-She Yang,et al.  Cuckoo Search via Lévy flights , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

[45]  Kang Li,et al.  Robust Visual Tracking Based on Convolutional Features with Illumination and Occlusion Handing , 2018, Journal of Computer Science and Technology.

[46]  Yi Zhou,et al.  Parallel ant colony optimization on multi-core SIMD CPUs , 2018, Future Gener. Comput. Syst..

[47]  Debahuti Mishra,et al.  A New Meta-heuristic Bat Inspired Classification Approach for Microarray Data , 2012 .

[48]  Yiteng Pan,et al.  A novel segmentation model for medical images with intensity inhomogeneity based on adaptive perturbation , 2018, Multimedia Tools and Applications.

[49]  Seyedali Mirjalili,et al.  SCA: A Sine Cosine Algorithm for solving optimization problems , 2016, Knowl. Based Syst..

[50]  Isabel Rosseti,et al.  Extending the hybridization of metaheuristics with data mining: Dealing with sequences , 2016, Intell. Data Anal..

[51]  Jian Xie,et al.  A Novel Bat Algorithm Based on Differential Operator and Lévy Flights Trajectory , 2013, Comput. Intell. Neurosci..

[52]  Songfeng Lu,et al.  Chaotic opposition-based grey-wolf optimization algorithm based on differential evolution and disruption operator for global optimization , 2018, Expert Syst. Appl..

[53]  Broderick Crawford,et al.  Online control of enumeration strategies via bat algorithm and black hole optimization , 2017, Natural Computing.

[54]  Fazhi He,et al.  An Efficient Particle Swarm Optimization for Large-Scale Hardware/Software Co-Design System , 2017, Int. J. Cooperative Inf. Syst..

[55]  Zhijian Wu,et al.  Enhancing particle swarm optimization using generalized opposition-based learning , 2011, Inf. Sci..

[56]  David H. Wolpert,et al.  No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..

[57]  Yuan Cheng,et al.  Supporting selective undo of string-wise operations for collaborative editing systems , 2018, Future Gener. Comput. Syst..

[58]  S. Arunachalam,et al.  Hybridizing bat algorithm with artificial bee colony for combined heat and power economic dispatch , 2018, Appl. Soft Comput..

[59]  Andrew Lewis,et al.  Grasshopper Optimisation Algorithm: Theory and application , 2017, Adv. Eng. Softw..

[60]  Yiteng Pan,et al.  A correlative denoising autoencoder to model social influence for top-N recommender system , 2019, Frontiers of Computer Science.

[61]  Xiao Chen,et al.  A matting method based on full feature coverage , 2018, Multimedia Tools and Applications.

[62]  Nan Zhang,et al.  Design of a fractional-order PID controller for a pumped storage unit using a gravitational search algorithm based on the Cauchy and Gaussian mutation , 2017, Inf. Sci..

[63]  Mitra Montazeri,et al.  HHFS: Hyper-heuristic feature selection , 2016, IDA 2016.

[64]  Xin-She Yang,et al.  A New Metaheuristic Bat-Inspired Algorithm , 2010, NICSO.

[65]  Fazhi He,et al.  A Novel Hardware/Software Partitioning Method Based on Position Disturbed Particle Swarm Optimization with Invasive Weed Optimization , 2017, Journal of Computer Science and Technology.

[66]  Yu Liu,et al.  A novel bat algorithm with habitat selection and Doppler effect in echoes for optimization , 2015, Expert Syst. Appl..

[67]  Andrew Lewis,et al.  Let a biogeography-based optimizer train your Multi-Layer Perceptron , 2014, Inf. Sci..

[68]  Gai-Ge Wang,et al.  Image Matching Using a Bat Algorithm with Mutation , 2012 .

[69]  Xin Chen,et al.  A new bat algorithm based on iterative local search and stochastic inertia weight , 2018, Expert Syst. Appl..

[70]  Hamid R. Tizhoosh,et al.  Opposition-Based Learning: A New Scheme for Machine Intelligence , 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

[71]  Na Li,et al.  Learning-Based Visual Saliency Model for Detecting Diabetic Macular Edema in Retinal Image , 2016, Comput. Intell. Neurosci..

[72]  Dervis Karaboga,et al.  A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..

[73]  Jian Yao,et al.  Joint learning of image detail and transmission map for single image dehazing , 2018, The Visual Computer.