Hui Ma

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Associate Professor

Victoria University of Wellington

New Zealand

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Hui Ma is an Associate Professor at Victoria University of Wellington, New Zealand. His research focuses on advanced algorithms for cloud computing, workflow scheduling, and multi-objective service composition, as evidenced by his recent publications on genetic algorithms and memetic approaches. He is dedicated to enhancing efficiency in IoT and web service environments, contributing significantly to the fields of distributed computing and optimization.

Recent Grants

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Distributed Data-Intensive Service Composition

Open Date: 2016-07-01

Close Date: 2019-06-01

Hui Ma

Research Interests

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Recent Grants

Articles (15)

A genetic algorithm with selective repair method under combined-criteria for deadline-constrained IoT workflow scheduling in Fog–Cloud computing

Multi-objective IoT service composition with replication using memetic NSGA-II with bottleneck-driven local search

Genetic Programming Hyper Heuristic With Elitist Mutation for Integrated Order Batching and Picker Routing Problem

Enhancing generalization in genetic programming hyper-heuristics through mini-batch sampling strategies for dynamic workflow scheduling

Dual-Tree Genetic Programming With Adaptive Mutation for Dynamic Workflow Scheduling in Cloud Computing

Multi-objective distributed Web service composition—A link-dominance driven evolutionary approach

Using an Estimation of Distribution Algorithm to Achieve Multitasking Semantic Web Service Composition

Auto-Scaling Containerized Applications in Geo-Distributed Clouds

Priority-Based Selection of Individuals in Memetic Algorithms for Distributed Data-Intensive Web Service Compositions

Cost-Effective Web Application Replication and Deployment in Multi-Cloud Environment

A Cooperative Coevolution Genetic Programming Hyper-Heuristics Approach for On-Line Resource Allocation in Container-Based Clouds

Memetic EDA-Based Approaches to QoS-Aware Fully Automated Semantic Web Service Composition

Robustness Estimation and Optimisation for Semantic Web Service Composition With Stochastic Service Failures

Evolutionary Multi-Objective Optimization for Web Service Location Allocation Problem

Location-Aware and Budget-Constrained Service Deployment for Composite Applications in Multi-Cloud Environment

Collaborators (1)

Yifan Yang

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