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Chapter and Conference Paper
A Reference Vector Guided Evolutionary Algorithm with Diversity and Convergence Enhancement Strategies for Many-Objective Optimization
Maintaining the balance between convergence and diversity is a key issue in evolutionary multi-objective optimization and a challenge in many-objective scenarios. Reference-vector-guided selection is an exempl...
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Chapter and Conference Paper
Edible Oil Price Forecasting: A Novel Approach with Group Temporal Convolutional Network and BetaAdaptiveAdam
Edible oil, a fundamental food commodity, plays a pivotal role in the economic progression of a nation. The precise forecasting of edible oil prices is of utmost significance to a broad spectrum of stakeholder...
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Chapter and Conference Paper
A Spatial-Temporal Deformable Attention Based Framework for Breast Lesion Detection in Videos
Detecting breast lesion in videos is crucial for computer-aided diagnosis. Existing video-based breast lesion detection approaches typically perform temporal feature aggregation of deep backbone features based...
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Chapter and Conference Paper
Illumination-Guided Transformer-Based Network for Multispectral Pedestrian Detection
Multi-modal information (e.g., visible and thermal) can generate reliable and robust pedestrian detection results in various computer vision applications. Despite its broad applications, it remains a crucial p...
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Chapter and Conference Paper
An MOEA/D-ACO Algorithm with Finite Pheromone Weights for Bi-objective TTP
The Travelling Thief Problem is a complex logistics planning problem composed of the Travelling Salesman Problem and the Knapsack Problem. The Bi-objective TTP needs to optimize the two goals of the time spent...