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Fangfang Zhang

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Senior Lecturer

Victoria University of Wellington

New Zealand

Research Interests

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Recent Grants

Grant: Open

Machine Learning for Emergency Medical Dispatch: A Data Driven Approach

Open Date: 2023-10-01

Close Date: 2027-04-01

Articles (20)

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2026

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Collaborators (6)

Zhixing Huang

Victoria University of Wellington

NEW ZEALAND

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Jane Symonds

Senior Scientist

Cawthron Institute

NEW ZEALAND

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Yi Mei

Associate Professor

Victoria University of Wellington

NEW ZEALAND

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Yun Liu

Southwest University

CHINA

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Bing Xue

Professor, Deputy Head of School

Victoria University of Wellington

NEW ZEALAND

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Mengjie Zhang

Director

Victoria University of Wellington

NEW ZEALAND

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Fangfang Zhang

Research Interests

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Recent Grants

Articles (20)

Multi-objective feature selection in high-dimensional classification: An importance-guided and historical information-assisted approach

Fitness Landscape Compression for Genetic Programming

Genetic programming with advanced diverse partner selection for dynamic scheduling

Pareto Set Learning Through Genetic Programming for Multiobjective Dynamic Scheduling

A Novel Multi-Objective Memetic Algorithm for Multi-Task Fuzzy Flexible Job Shop Scheduling

Niching Genetic Programming to Learn Actions for Deep Reinforcement Learning in Dynamic Flexible Scheduling

Cooperative Coevolution Genetic Programming for Dynamic Joint Workflow Scheduling and Container Scaling in Cloud-Fog Computing

A multi-channel signal fault diagnosis method based on dynamic weighted data fusion and multi-scale feature enhancement

Niching Genetic Programming With Elite Archive for Multi-Objective Dynamic Scheduling

Cross-Representation Genetic Programming: A Case Study on Tree-Based and Linear Representations

Genetic Programming with Tabu List for Dynamic Flexible Job Shop Scheduling

Multiobjective Dynamic Flexible Job Shop Scheduling With Biased Objectives via Multitask Genetic Programming

Fitness Landscape Optimization Makes Stochastic Symbolic Search By Genetic Programming Easier

Health prediction for king salmon via evolutionary machine learning with genetic programming

Evolutionary Trainer-Based Deep Q-Network for Dynamic Flexible Job-Shop Scheduling

Phenotype and Genotype Based Sample Aware Surrogate-Assisted Genetic Programming in Dynamic Flexible Job Shop Scheduling

Correlation-Guided Particle Swarm Optimization Approach for Feature Selection in Fault Diagnosis

Multi-tree Genetic Programming for Dynamic Tugboat Scheduling

Neural Network Surrogate Based on Binary Classification for Assisting Genetic Programming in Searching Scheduling Heuristic

Toward Evolving Dispatching Rules With Flow Control Operations By Grammar-Guided Linear Genetic Programming

Collaborators (6)

Zhixing Huang

Jane Symonds

Yi Mei

Yun Liu

Bing Xue

Mengjie Zhang

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