Jiahai Wang

According to our database1, Jiahai Wang authored at least 89 papers between 2004 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
A Graph-Based Fuzzy Evolutionary Algorithm for Solving Two-Echelon Vehicle Routing Problems.
IEEE Trans. Evolutionary Computation, 2020

Bi-objective Elite Differential Evolution Algorithm for Multivalued Logic Networks.
IEEE Trans. Cybernetics, 2020

MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization.
CoRR, 2020

Utilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language Inference.
CoRR, 2020

A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems.
CoRR, 2020

2019
Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction.
IEEE Trans. Neural Netw. Learning Syst., 2019

A Scalar Projection and Angle-Based Evolutionary Algorithm for Many-Objective Optimization Problems.
IEEE Trans. Cybernetics, 2019

A Two-Stage Multiobjective Evolutionary Algorithm for Multiobjective Multidepot Vehicle Routing Problem With Time Windows.
IEEE Trans. Cybernetics, 2019

Cooperative Differential Evolution Framework for Constrained Multiobjective Optimization.
IEEE Trans. Cybernetics, 2019

Segment-Level Joint Topic-Sentiment Model for Online Review Analysis.
IEEE Intelligent Systems, 2019

CatGAN: Category-aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation.
CoRR, 2019

Reasoning Over Semantic-Level Graph for Fact Checking.
CoRR, 2019

Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs.
CoRR, 2019

Attentional Encoder Network for Targeted Sentiment Classification.
CoRR, 2019

GMMA: GPU-based multiobjective memetic algorithms for vehicle routing problem with route balancing.
Appl. Intell., 2019

Improving Question Answering by Commonsense-Based Pre-training.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

A Position-aware Transformation Network for Aspect-level Sentiment Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

Targeted Sentiment Classification with Attentional Encoder Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018
The Quay Crane Scheduling Problem With Stability Constraints.
IEEE Trans. Automation Science and Engineering, 2018

A historical solutions based evolution operator for decomposition-based many-objective optimization.
Swarm and Evolutionary Computation, 2018

A multi-objective tabu search algorithm based on decomposition for multi-objective unconstrained binary quadratic programming problem.
Knowl.-Based Syst., 2018

On the selection of solutions for mutation in differential evolution.
Frontiers Comput. Sci., 2018

Improving Question Answering by Commonsense-Based Pre-Training.
CoRR, 2018

2017
Ensemble of many-objective evolutionary algorithms for many-objective problems.
Soft Comput., 2017

Understanding differential evolution: A Poisson law derived from population interaction network.
J. Comput. Science, 2017

Using a Single Dendritic Neuron to Forecast Tourist Arrivals to Japan.
IEICE Transactions, 2017

Neighborhood-adaptive differential evolution for global numerical optimization.
Appl. Soft Comput., 2017

M-NSGA-II: A Memetic Algorithm for Vehicle Routing Problem with Route Balancing.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

2016
Cooperative Differential Evolution With Multiple Populations for Multiobjective Optimization.
IEEE Trans. Cybernetics, 2016

Multiobjective Vehicle Routing Problems With Simultaneous Delivery and Pickup and Time Windows: Formulation, Instances, and Algorithms.
IEEE Trans. Cybernetics, 2016

Multiobjective local search for community detection in networks.
Soft Comput., 2016

Adaptive direction information in differential evolution for numerical optimization.
Soft Comput., 2016

Financial time series prediction using a dendritic neuron model.
Knowl.-Based Syst., 2016

Differential evolution with guiding archive for global numerical optimization.
Appl. Soft Comput., 2016

Improving Artificial Bee Colony Algorithm with Historical Archive.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

2015
Multiobjective evolutionary algorithm for frequency assignment problem in satellite communications.
Soft Comput., 2015

A Local Search-Based Multiobjective Optimization Algorithm for Multiobjective Vehicle Routing Problem With Time Windows.
IEEE Systems Journal, 2015

Multiobjective optimization algorithm with objective-wise learning for continuous multiobjective problems.
J. Ambient Intell. Humaniz. Comput., 2015

Differential evolution with hybrid linkage crossover.
Inf. Sci., 2015

Constrained differential evolution with multiobjective sorting mutation operators for constrained optimization.
Appl. Soft Comput., 2015

2014
Differential Evolution Enhanced With Multiobjective Sorting-Based Mutation Operators.
IEEE Trans. Cybernetics, 2014

2013
Differential Evolution With Neighborhood and Direction Information for Numerical Optimization.
IEEE Trans. Cybernetics, 2013

Single Objective Guided Multiobjective Optimization Algorithm.
Proceedings of the 2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies, 2013

A Soft Subspace Clustering Algorithm Based on Multi-Objective Optimization and Reliability Measure.
Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications, 2013

2012
Learnable tabu search guided by estimation of distribution for maximum diversity problems.
Soft Comput., 2012

Learning-enhanced differential evolution for numerical optimization.
Soft Comput., 2012

2011
Cooperative annealing Hopfield network for unconstrained binary quadratic programming problem.
Expert Syst. Appl., 2011

Combining tabu Hopfield network and estimation of distribution for unconstrained binary quadratic programming problem.
Expert Syst. Appl., 2011

Improved stochastic competitive Hopfield network for polygonal approximation.
Expert Syst. Appl., 2011

Multi-start stochastic competitive Hopfield neural network for frequency assignment problem in satellite communications.
Expert Syst. Appl., 2011

Memetic clonal selection algorithm with EDA vaccination for unconstrained binary quadratic programming problems.
Expert Syst. Appl., 2011

Discrete particle swarm optimization based on estimation of distribution for terminal assignment problems.
Computers & Industrial Engineering, 2011

2010
Discrete Hopfield network combined with estimation of distribution for unconstrained binary quadratic programming problem.
Expert Syst. Appl., 2010

2009
Competitive Hopfield Network Combined With Estimation of Distribution for Maximum Diversity Problems.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009

Stochastic optimal competitive Hopfield network for partitional clustering.
Expert Syst. Appl., 2009

Discrete particle swarm optimization based on estimation of distribution for polygonal approximation problems.
Expert Syst. Appl., 2009

Multi-start Stochastic Competitive Hopfield Neural Network for p-Median Problem.
Proceedings of the Advances in Neural Networks, 2009

2008
Hopfield Neural Network Based on Estimation of Distribution for Two-Page Crossing Number Problem.
IEEE Trans. on Circuits and Systems, 2008

A Chaotic Neural Network Combined Heuristic Strategy for Multidimensional Knapsack Problem.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

Competitive Hopfield Neural Network with Periodic Stochastic Dynamics for Partitional Clustering.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

MATLAB Simulink modeling and simulation of Zhang neural networks for online time-varying sylvester equation solving.
Proceedings of the International Joint Conference on Neural Networks, 2008

Genetic Particle Swarm Optimization Based on Multiagent Model for Combinatorial Optimization Problem.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

A Self-Organizing Map Algorithm for the Traveling Salesman Problem.
Proceedings of the Fourth International Conference on Natural Computation, 2008

A Hopfield-Type Neural Network for Haplotype Assembly Problem.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Discrete quantum-behaved particle swarm optimization based on estimation of distribution for combinatorial optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
A Genetic Algorithm with Conditional Crossover and Mutation Operators and Its Application to Combinatorial Optimization Problems.
IEICE Transactions, 2007

A Memetic Algorithm with Genetic Particle Swarm Optimization and Neural Network for Maximum Cut Problems.
Proceedings of the Bio-Inspired Computational Intelligence and Applications, 2007

Genetic Particle Swarm Optimization Based on Estimation of Distribution.
Proceedings of the Bio-Inspired Computational Intelligence and Applications, 2007

A Hybrid of Particle Swarm Optimization and Hopfield Networks for Bipartite Subgraph Problems.
Proceedings of the Advances in Neural Networks, 2007

A Discrete Estimation of Distribution Particle Swarm Optimization for Combinatorial Optimization Problems.
Proceedings of the Third International Conference on Natural Computation, 2007

Quantum-Behaved Particle Swarm Optimization with Generalized Local Search Operator for Global Optimization.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

A Novel Discrete Particle Swarm Optimization Based on Estimation of Distribution.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

Hybrid quantum particle swarm optimization algorithm for combinatorial optimization problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
An improved discrete Hopfield neural network for Max-Cut problems.
Neurocomputing, 2006

2005
An Improved Neural Computing Algorithm for the m_Way Graph Partitioning Problem.
Neural Parallel & Scientific Comp., 2005

A method to improve the transiently chaotic neural network.
Neurocomputing, 2005

A binary Hopfield neural network with hysteresis for large crossbar packet-switches.
Neurocomputing, 2005

A discrete competitive Hopfield neural network for cellular channel assignment problems.
Neurocomputing, 2005

2004
Maximum neural network with nonlinear self-feedback for maximum clique problem.
Neurocomputing, 2004

An improved optimal competitive Hopfield network for bipartite subgraph problems.
Neurocomputing, 2004

An improved transiently chaotic neural network for the maximum independent set problem.
Int. J. Neural Syst., 2004

An Annealed Chaotic Maximum Neural Network For Bipartite Subgraph Problem.
Int. J. Neural Syst., 2004

Optimal competitive hopfield network with stochastic dynamics for maximum cut problem.
Int. J. Neural Syst., 2004

A Chaotic Maximum Neural Network for Maximum Clique Problem.
IEICE Transactions, 2004

A Method to Improve the Transiently Chaotic Neural Network.
Proceedings of the Advances in Neural Networks, 2004

A New Parallel Improvement Algorithm for Maximum Cut Problem.
Proceedings of the Advances in Neural Networks, 2004

A New Neural Network Algorithm for Clique Vertex-Partition Problem.
Proceedings of the Advances in Neural Networks, 2004

A Positively Self-Feedbacked Hopfield Neural Network for N-Queens Problem.
Proceedings of the Advances in Neural Networks, 2004

An Algorithm Based on Hopfield Network Learning for Minimum Vertex Cover Problem.
Proceedings of the Advances in Neural Networks, 2004


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