Zhenhua Li

Orcid: 0000-0002-6212-6384

Affiliations:
  • City University of Hong Kong, Department of Computer Science, Hong Kong


According to our database1, Zhenhua Li authored at least 19 papers between 2012 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Decomposition-Based Lin-Kernighan Heuristic With Neighborhood Structure Transfer for Multi/Many-Objective Traveling Salesman Problem.
IEEE Trans. Evol. Comput., December, 2023

SA-ES: Subspace Activation Evolution Strategy for Black-Box Adversarial Attacks.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

2022
Noisy Optimization by Evolution Strategies With Online Population Size Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Cooperative Coevolution With Knowledge-Based Dynamic Variable Decomposition for Bilevel Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022

2020
Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization.
IEEE Trans. Cybern., 2020

Evolution strategies for continuous optimization: A survey of the state-of-the-art.
Swarm Evol. Comput., 2020

Variable metric evolution strategies by mutation matrix adaptation.
Inf. Sci., 2020

2019
Pareto Multi-Task Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

An Efficient Elitist Covariance Matrix Adaptation for Continuous Local Search in High Dimension.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Simple Yet Efficient Evolution Strategy for Large-Scale Black-Box Optimization.
IEEE Trans. Evol. Comput., 2018

A Batched Scalable Multi-Objective Bayesian Optimization Algorithm.
CoRR, 2018

Nonlinear Collaborative Scheme for Deep Neural Networks.
CoRR, 2018

2017
A Simple Yet Efficient Rank One Update for Covariance Matrix Adaptation.
CoRR, 2017

An efficient rank-1 update for Cholesky CMA-ES using auxiliary evolution path.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
What Does the Evolution Path Learn in CMA-ES?
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

2015
Integrating Preference by Means of Desirability Function with Evolutionary Multi-objective Optimization.
Intell. Autom. Soft Comput., 2015

2014
An Evolutionary Algorithm for TD-LTE Resource Allocation Based on Adaptive Fairness Threshold.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Integrating Preferred Weights with Decomposition Based Multi-objective Evolutionary Algorithm.
Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014

2012
Preference-Based Evolutionary Multi-objective Optimization.
Proceedings of the Eighth International Conference on Computational Intelligence and Security, 2012


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