Peng Wang

Orcid: 0000-0002-8745-320X

Affiliations:
  • Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China


According to our database1, Peng Wang authored at least 39 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
Surrogate-assisted evolutionary algorithm with decomposition-based local learning for high-dimensional multi-objective optimization.
Expert Syst. Appl., 2024

A data-driven co-evolutionary exploration algorithm for computationally expensive constrained multi-objective problems.
Appl. Soft Comput., 2024

2023
A dual surrogate assisted evolutionary algorithm based on parallel search for expensive multi/many-objective optimization.
Appl. Soft Comput., November, 2023

Multi-objective constrained black-box optimization algorithm based on feasible region localization and performance-improvement exploration.
Appl. Soft Comput., November, 2023

An inverse model-guided two-stage evolutionary algorithm for multi-objective optimization.
Expert Syst. Appl., September, 2023

A clustering-based surrogate-assisted evolutionary algorithm (CSMOEA) for expensive multi-objective optimization.
Soft Comput., August, 2023

Surrogate-assisted global transfer optimization based on adaptive sampling strategy.
Adv. Eng. Informatics, April, 2023

Expensive Many-Objective Optimization by Learning of the Strengthened Dominance Relation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022
Real-Time Mission-Motion Planner for Multi-UUVs Cooperative Work Using Tri-Level Programing.
IEEE Trans. Intell. Transp. Syst., 2022

A Controlled Strengthened Dominance Relation for Evolutionary Many-Objective Optimization.
IEEE Trans. Cybern., 2022

A Two-stage Surrogate-Assisted Evolutionary Algorithm (TS-SAEA) for Expensive Multi/Many-objective Optimization.
Swarm Evol. Comput., 2022

Surrogate-assisted hierarchical learning water cycle algorithm for high-dimensional expensive optimization.
Swarm Evol. Comput., 2022

A dynamic space reduction ant colony optimization for capacitated vehicle routing problem.
Soft Comput., 2022

A classification surrogate-assisted multi-objective evolutionary algorithm for expensive optimization.
Knowl. Based Syst., 2022

A multistage evolutionary algorithm for many-objective optimization.
Inf. Sci., 2022

An adaptive bi-level task planning strategy for multi-USVs target visitation.
Appl. Soft Comput., 2022

Multi/many-objective evolutionary algorithm assisted by radial basis function models for expensive optimization.
Appl. Soft Comput., 2022

Blended-wing-body underwater glider shape transfer optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Multi-fidelity global optimization using a data-mining strategy for computationally intensive black-box problems.
Knowl. Based Syst., 2021

Surrogate-guided multi-objective optimization (SGMOO) using an efficient online sampling strategy.
Knowl. Based Syst., 2021

Kriging-assisted teaching-learning-based optimization (KTLBO) to solve computationally expensive constrained problems.
Inf. Sci., 2021

Surrogate-assisted teaching-learning-based optimization for high-dimensional and computationally expensive problems.
Appl. Soft Comput., 2021

SGOP: Surrogate-assisted global optimization using a Pareto-based sampling strategy.
Appl. Soft Comput., 2021

2020
A distance correlation-based Kriging modeling method for high-dimensional problems.
Knowl. Based Syst., 2020

Kriging-assisted Discrete Global Optimization (KDGO) for black-box problems with costly objective and constraints.
Appl. Soft Comput., 2020

Hierarchical Learning Water Cycle Algorithm.
Appl. Soft Comput., 2020

Managing Radial Basis Functions for Evolutionary Many-Objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
A Novel Evolutionary Sampling Assisted Optimization Method for High-Dimensional Expensive Problems.
IEEE Trans. Evol. Comput., 2019

Enhanced Water Cycle Algorithm with Active Learning and Return Strategy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Hybrid surrogate-based optimization using space reduction (HSOSR) for expensive black-box functions.
Appl. Soft Comput., 2018

SCGOSR: Surrogate-based constrained global optimization using space reduction.
Appl. Soft Comput., 2018

Multi-surrogate-based Differential Evolution with multi-start exploration (MDEME) for computationally expensive optimization.
Adv. Eng. Softw., 2018

2017
The use of improved TOPSIS method based on experimental design and Chebyshev regression in solving MCDM problems.
J. Intell. Manuf., 2017

2016
A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design.
Inf. Sci., 2016

Surrogate-Based Global Sequential Sampling Algorithm.
Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016

2013
A hybrid method using experiment design and grey relational analysis for multiple criteria decision making problems.
Knowl. Based Syst., 2013

2010
Research on Optimization Design of Bottom Angle of Drag-Reducing Structure on the Riblets Surface.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2010

Comparison of Four Decomposition Algorithms for Multidisciplinary Design Optimization.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2010

2007
Application of Concurrent Subspace Design to Shape Design of Automatic Underwater Vehicle.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007


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