Ao Liu

Orcid: 0000-0002-3308-3311

Affiliations:
  • Wuhan University of Science and Technology, School of Management, Center for Service Science and Engineering, China


According to our database1, Ao Liu authored at least 13 papers between 2016 and 2021.

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

Timeline

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Bibliography

2021
Opposition-based multi-objective whale optimization algorithm with multi-leader guiding.
Soft Comput., 2021

Path planning of spot welding robot based on multi-objective grey wolf algorithm.
J. Intell. Fuzzy Syst., 2021

A sigmoid attractiveness based improved firefly algorithm and its applications in IIR filter design.
Connect. Sci., 2021

2020
Optimization of geometry quality model for wire and arc additive manufacture based on adaptive multi-objective grey wolf algorithm.
Soft Comput., 2020

Improved grey wolf optimization based on the two-stage search of hybrid CMA-ES.
Soft Comput., 2020

Prediction of mechanical properties of micro-alloyed steels via neural networks learned by water wave optimization.
Neural Comput. Appl., 2020

2019
An Inverse Power Generation Mechanism Based Fruit Fly Algorithm for Function Optimization.
J. Syst. Sci. Complex., 2019

2018
Designing Neural Networks Using Novel Water Wave Optimization Based Memetic Algorithm.
Proceedings of the 14th International Conference on Natural Computation, 2018

Heuristic and Meta-heuristic Algorithms for the Online Scheduling on Unrelated Parallel Machines with Machine Eligibility Constraints.
Proceedings of the 14th International Conference on Natural Computation, 2018

A Dynamic Generalized Opposition-Based Learning Fruit Fly Algorithm for Function Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
基于自适应控制参数的改进水波优化算法 (Improved Water Wave Optimization Algorithm with Adaptive Control Parameters).
计算机科学, 2017

2016
A tabu-based variable neighborhood local search for n-vehicles exploration problem.
Proceedings of the 12th IEEE International Conference on Control and Automation, 2016

A simultaneous perturbation stochastic approximation enhanced teaching-learning based optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016


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