Mengjie Zhang

Evolutionary Image Analysis, Signal Processing and Pattern Recognition

2015

tutorial Share on Evolutionary Image Analysis, Signal Processing and Pattern Recognition Authors: Mengjie Zhang Victoria University of Wellington, Wellington, New Zealand Victoria University of Wellington, Wellington, New ZealandView Profile , Stefano Cagnoni University of Parma, …

Evolutionary computer vision and image processing: Some FAQs, current challenges and future perspectives

2016

Applications to image/signal processing and analysis have been studied since the very early years in the history of Evolutionary Computation up to a degree of popularity which has allowed terms like Evolutionary Computer Vision (ECV) …

Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition

2018 · Proceedings of the Genetic and Evolutionary Computation Conference Companion

tutorial Share on Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition Authors: Mengjie Zhang Victoria University of Wellington, Wellington, New Zealand Victoria University of Wellington, Wellington, New ZealandView Profile …

Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification

2018 · IEEE Transactions on Evolutionary Computation

With a global search mechanism, particle swarm optimization (PSO) has shown promise in feature selection (FS). However, most of the current PSO-based FS methods use a fix-length representation, which is inflexible and limits the performance …

Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling

2021 · IEEE Transactions on Cybernetics

Dynamic flexible job shop scheduling (JSS) has received widespread attention from academia and industry due to its practical application value. It requires complex routing and sequencing decisions under unpredicted dynamic events. Genetic programming (GP), as …

Artificial Intelligence in New Zealand: applications and innovation

2023 · Journal of the Royal Society of New Zealand

Artificial Intelligence in New Zealand: applications and innovationArtificial Intelligence (AI) is playing an increasingly significant role in various scientific research areas and real-world applications, ranging from AlphaGo design through medical imaging analysis, earthquake prediction to …

Feature Selection for GPSR Based on Maximal Information Coefficient and Shapley Values

2024

Feature selection is a critical aspect of improving the interpretability of machine learning models. Genetic Programming (GP) has a built-in feature selection mechanism that explores the search space to include informative features in models. However, …

Designing New Data Augmentation Functions for Fish Spectral Data by Genetic Programming

2025 · Proceedings of the Genetic and Evolutionary Computation Conference Companion

Analyzing spectral data is an effective and efficient way to estimate the nutrition of food products. However, spectral data are usually high-dimensional and noisy, which makes spectral data analysis challenging. Data augmentation is an effective …