Li Li

Orcid: 0000-0001-8897-9433

Affiliations:
  • Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China


According to our database1, Li Li authored at least 13 papers between 2013 and 2022.

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

Timeline

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Bibliography

2022
Clearing-based multimodal multi-objective evolutionary optimization with layer-to-layer strategy.
Swarm Evol. Comput., 2022

On self-adaptive stochastic ranking in decomposition many-objective evolutionary optimization.
Neurocomputing, 2022

MOEA/D with Adaptive Constraint Handling for Constrained Multi-objective Optimization.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

2021
On the Norm of Dominant Difference for Many-Objective Particle Swarm Optimization.
IEEE Trans. Cybern., 2021

On the estimation of pareto front and dimensional similarity in many-objective evolutionary algorithm.
Inf. Sci., 2021

2020
A many-objective particle swarm optimization with grid dominance ranking and clustering.
Appl. Soft Comput., 2020

A Multi-objective Evolutionary Algorithm based on R2 Indicator for Pickup and Delivery Problem with Time Windows.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Novel Evolutionary Algorithm with Pareto Front Adaption for Many-objective Optimization.
Proceedings of the 2020 American Control Conference, 2020

2019
Opposition-based multi-objective whale optimization algorithm with global grid ranking.
Neurocomputing, 2019

2017
基于模拟退火的自适应水波优化算法 (Adaptive Water Wave Optimization Algorithm Based on Simulated Annealing).
计算机科学, 2017

Multi-objective particle swarm optimization based on global margin ranking.
Inf. Sci., 2017

An improved decomposition-based multiobjective evolutionary algorithm with a better balance of convergence and diversity.
Appl. Soft Comput., 2017

2013
Research on hydropower station optimal scheduling considering ecological water demand.
Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions, 2013


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