Xingguang Peng
Orcid: 0000-0001-8483-5432Affiliations:
- Northwestern Polytechnical University, Xian, Shaanxi, China
According to our database1,
Xingguang Peng
authored at least 29 papers
between 2008 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Underwater glider motion parameter generation based on structure-optimized deep belief network and BP neural network.
Appl. Soft Comput., 2025
2024
Emergence of Collective Behaviors for the Swarm Robotics Through Visual Attention-Based Selective Interaction.
IEEE Robotics Autom. Lett., November, 2024
Heterogeneous Targets Trapping With Swarm Robots by Using Adaptive Density-Based Interaction.
IEEE Trans. Robotics, 2024
IEEE Trans. Robotics, 2024
Automated design of action advising trigger conditions for multiagent reinforcement learning: A genetic programming-based approach.
Swarm Evol. Comput., 2024
Self-organized swarm robot for multi-target trapping based on self-regulated density interaction.
Inf. Sci., 2024
2023
Entropy, December, 2023
Cooperative Coevolutionary CMA-ES With Landscape-Aware Grouping in Noisy Environments.
IEEE Trans. Evol. Comput., 2023
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
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
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
Proceedings of the 2016 International Conference on Advanced Robotics and Mechatronics, 2016
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