Tao Zhang

Orcid: 0000-0002-0432-2942

Affiliations:
  • National University of Defense Technology, College of Information Systems and Management, Changsha, China (PhD 2004)


According to our database1, Tao Zhang authored at least 64 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
An evolutionary algorithm based on fully connected weight networks for mixed-variable multi-objective optimization.
Inf. Sci., February, 2024

Learning to Branch in Combinatorial Optimization with Graph Pointer Networks.
IEEE CAA J. Autom. Sinica, January, 2024

Large-Scale Binary Matrix Optimization for Multimicrogrids Network Structure Design.
IEEE Trans. Syst. Man Cybern. Syst., 2024

2023
Hybridization of Evolutionary Algorithm and Deep Reinforcement Learning for Multiobjective Orienteering Optimization.
IEEE Trans. Evol. Comput., October, 2023

Cooperative coevolutionary competition swarm optimizer with perturbation for high-dimensional multi-objective optimization.
Inf. Sci., October, 2023

Multimodal multi-objective optimization: Comparative study of the state-of-the-art.
Swarm Evol. Comput., March, 2023

Hierarchy Ranking Method for Multimodal Multiobjective Optimization With Local Pareto Fronts.
IEEE Trans. Evol. Comput., February, 2023

Product competitiveness analysis from the perspective of customer perceived helpfulness: a novel method of information fusion research.
Data Technol. Appl., 2023

On the effect of particle update modes in particle swarm optimisation.
Int. J. Bio Inspired Comput., 2023

Coevolutionary Framework for Generalized Multimodal Multi-Objective Optimization.
IEEE CAA J. Autom. Sinica, 2023

Many-Constraint Multi-objective Optimization of Grid-Connected Hybrid Renewable Energy System.
Proceedings of the Data Mining and Big Data - 8th International Conference, 2023

2022
High Overload Power Supply System and Its Energy Synchronization Control Method for Short-Term High-Energy Pulse Load.
IEEE Trans. Smart Grid, 2022

A Novel Dual-Stage Dual-Population Evolutionary Algorithm for Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022

An Evolutionary Multiobjective Knee-Based Lower Upper Bound Estimation Method for Wind Speed Interval Forecast.
IEEE Trans. Evol. Comput., 2022

Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems.
IEEE Trans. Cybern., 2022

Optimal Topology Design for Distributed Generation Networks Considering Different Nodal Invulnerability Requirements.
Symmetry, 2022

Large-scale matrix optimization based multi microgrid topology design with a constrained differential evolution algorithm.
CoRR, 2022

Multimodal Multi-objective Optimization: Comparative Study of the State-of-the-Art.
CoRR, 2022

Hybridization of evolutionary algorithm and deep reinforcement learning for multi-objective orienteering optimization.
CoRR, 2022

Deep Reinforcement Learning for Online Routing of Unmanned Aerial Vehicles with Wireless Power Transfer.
CoRR, 2022

A hybrid optimization framework for UAV reconnaissance mission planning.
Comput. Ind. Eng., 2022

2021
A Dual-Population-Based Evolutionary Algorithm for Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2021

Weighted Indicator-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2021

Deep Reinforcement Learning for Multiobjective Optimization.
IEEE Trans. Cybern., 2021

Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems.
CoRR, 2021

Sizing a Hybrid Renewable Energy System by a Coevolutionary Multiobjective Optimization Algorithm.
Complex., 2021

Multiobjective routing optimization of mobile charging vehicles for UAV power supply guarantees.
Comput. Ind. Eng., 2021

UAV Path Planning Based on Variable Neighborhood Search Genetic Algorithm.
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

Early Warning Model of Wind Turbine Front Bearing Based on Conv1D and LSTM.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2021

A New Encoding Mechanism Embedded Evolutionary Algorithm for UAV Route Planning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Investigating Constraint Relationship in Evolutionary Many-Constraint Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Reinvestigation of evolutionary many-objective optimization: Focus on the Pareto knee front.
Inf. Sci., 2020

Knee Point-Guided Multiobjective Optimization Algorithm for Microgrid Dynamic Energy Management.
Complex., 2020

2019
Robust Optimization for Microgrid Defense Resource Planning and Allocation Against Multi-Period Attacks.
IEEE Trans. Smart Grid, 2019

Multi-scenario microgrid optimization using an evolutionary multi-objective algorithm.
Swarm Evol. Comput., 2019

Detection of Voltage Anomalies in Spacecraft Storage Batteries Based on a Deep Belief Network.
Sensors, 2019

Deep Reinforcement Learning for Multi-objective Optimization.
CoRR, 2019

A Method for Interval Prediction of Satellite Battery State of Health Based on Sample Entropy.
IEEE Access, 2019

A dual-grid dual-phase strategy for constrained multi-objective optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Knee-Point Driven Multi-objective Evolutionary Algorithm for Flexible Job Shop Scheduling.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Evolutionary Many-Constraint Optimization: An Exploratory Analysis.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Inverted-file R-tree Index Nodes Clustering Based on Multi-objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Localized Weighted Sum Method for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2018

Cooperative co-evolution with improved differential grouping method for large-scale global optimisation.
Int. J. Bio Inspired Comput., 2018

Evolutionary Many-Objective Optimization: A Comparative Study of the State-of-the-Art.
IEEE Access, 2018

Short-Term Load Forecasting Based on RBM and NARX Neural Network.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

2017
Pareto adaptive penalty-based boundary intersection method for multi-objective optimization.
Inf. Sci., 2017

On the effect of reference point in MOEA/D for multi-objective optimization.
Appl. Soft Comput., 2017

Gbest-Guided Covariance Matrix Adaptation Evolution Strategy for Large Scale Global Optimization.
Proceedings of the Intelligent Computing Theories and Application, 2017

Effect of Transfer Functions in Deep Belief Network for Short-Term Load Forecasting.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2017

2016
Decomposition-Based Algorithms Using Pareto Adaptive Scalarizing Methods.
IEEE Trans. Evol. Comput., 2016

A multi-objective co-evolutionary algorithm for energy-efficient scheduling on a green data center.
Comput. Oper. Res., 2016

Sliding mode control for rectifier stage of solid state transformer.
Proceedings of the 14th International Workshop on Variable Structure Systems, 2016

On the effect of localized PBI method in MOEA/D for multi-objective optimization.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Wind speed prediction using a cooperative coevolution genetic algorithm based on back propagation neural network.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
SGEESS: Smart green energy-efficient scheduling strategy with dynamic electricity price for data center.
J. Syst. Softw., 2015

Dynamic design of sales territories.
Comput. Oper. Res., 2015

Stochastic Model Predictive Control Based Economic Dispatch for Hybrid Energy System Including Wind and Energy Storage Devices.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Short-Term Forecasting of Wind Power Generation Based on the Similar Day and Elman Neural Network.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Multi-objective optimal design of hybrid renewable energy systems using evolutionary algorithms.
Proceedings of the 11th International Conference on Natural Computation, 2015

Pareto Adaptive Scalarising Functions for Decomposition Based Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

2014
PICEA-g using an enhanced fitness assignment method.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2014

2013
Optimal Scheduling of Track Maintenance on a Railway Network.
Qual. Reliab. Eng. Int., 2013

An enhanced MOEA/D using uniform directions and a pre-organization procedure.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013


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