Xingguang Peng

Orcid: 0000-0001-8483-5432

Affiliations:
  • Northwestern Polytechnical University, Xian, Shaanxi, China


According to our database1, Xingguang Peng authored at least 25 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
A Distributed Outmost Push Approach for Multirobot Herding.
IEEE Trans. Robotics, 2024

Self-organized swarm robot for multi-target trapping based on self-regulated density interaction.
Inf. Sci., 2024

2023
Characterizing Pairwise U-Turn Behavior in Fish: A Data-Driven Analysis.
Entropy, December, 2023

Cooperative Coevolutionary CMA-ES With Landscape-Aware Grouping in Noisy Environments.
IEEE Trans. Evol. Comput., 2023

Bio-Inspired Uniform Diffusion with Binary-State Sensory Action.
Proceedings of the IEEE International Conference on Development and Learning, 2023

2022
Experience Sharing Based Memetic Transfer Learning for Multiagent Reinforcement Learning.
Memetic Comput., 2022

2021
Optimizing Parameters of Self-Organizing Model for Swarm Robots via Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
MFEA-IG: A Multi-Task Algorithm for Mobile Agents Path Planning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization.
IEEE Trans. Cybern., 2019

Identifying Variables Interaction for Black-box Continuous Optimization with Mutual Information of Multiple Local Optima.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Identifying variable interaction using mutual information of multiple local optima.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

A GP Based Two-Layer Framework for Data-Driven Modeling of Swarm Self-Organizing Rules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Enhancing Cooperative Coevolution with Selective Multiple Populations for Large-Scale Global Optimization.
Complex., 2018

Cooperative Co-evolution for Large Scale Optimization with Dynamic Variable Grouping via Marginal Product Modeling.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Large-scale cooperative co-evolution using niching-based multi-modal optimization and adaptive fast clustering.
Swarm Evol. Comput., 2017

Large-scale cooperative co-evolution with bi-objective selection based imbalanced multi-modal optimization.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
A dynamic optimization approach to the design of cooperative co-evolutionary algorithms.
Knowl. Based Syst., 2016

Finding informative collaborators for cooperative co-evolutionary algorithms using a dynamic multi-population framework.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Pattern formation in constrained environments: A swarm robot target trapping method.
Proceedings of the 2016 International Conference on Advanced Robotics and Mechatronics, 2016

A long-distance navigation model for AUV based on multiple parameter searching.
Proceedings of the 2016 International Conference on Advanced Robotics and Mechatronics, 2016

2015
Gene Regulatory Networks with Asymmetric Information for Swarm Robot Pattern Formation.
Proceedings of the Intelligent Robotics and Applications - 8th International Conference, 2015

2014
Compensate information from multimodal dynamic landscapes: An anti-pathology cooperative coevolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2011
Environment identification-based memory scheme for estimation of distribution algorithms in dynamic environments.
Soft Comput., 2011

Intelligent flight for UAV via integration of dynamic MOEA, Bayesian network and fuzzy logic.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2008
A Multi-objective Optimal Approach for UAV Routing in Reconnaissance Mission with Stochastic Observation Time.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008


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