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04/08/2023
Improving Performance Insensitivity of Large-scale Multiobjective Optimization via Monte Carlo Tree Search
The large-scale multiobjective optimization problem (LSMOP) is character...
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01/14/2023
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Neural Architecture Search (NAS) has received increasing attention becau...
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10/11/2022
Analysis of Expected Hitting Time for Designing Evolutionary Neural Architecture Search Algorithms
Evolutionary computation-based neural architecture search (ENAS) is a po...
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03/26/2022
Learn to Adapt for Monocular Depth Estimation
Monocular depth estimation is one of the fundamental tasks in environmen...
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08/09/2021
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search
Neural architecture search (NAS), which automatically designs the archit...
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07/28/2021
Snippet Policy Network for Multi-class Varied-length ECG Early Classification
Arrhythmia detection from ECG is an important research subject in the pr...
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02/24/2021
An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization
Real-world multiobjective optimization problems usually involve conflict...
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10/01/2020
System Design and Analysis for Energy-Efficient Passive UAV Radar Imaging System using Illuminators of Opportunity
Unmanned ariel vehicle (UAV) can provide superior flexibility and cost-e...
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04/09/2020
Masked GANs for Unsupervised Depth and Pose Prediction with Scale Consistency
Previous works have shown that adversarial learning can be used for unsu...
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03/29/2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
With widespread applications of artificial intelligence (AI), the capabi...
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12/24/2019
Pruning Deep Neural Networks Architectures with Evolution Strategy
Currently, Deep Neural Networks (DNNs) are used to solve all kinds of pr...
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08/11/2018
Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification
Convolutional Neural Networks (CNNs) have gained a remarkable success on...
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02/24/2018
IGD Indicator-based Evolutionary Algorithm for Many-objective Optimization Problems
Inverted Generational Distance (IGD) has been widely considered as a rel...
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02/24/2018
Improved Regularity Model-based EDA for Many-objective Optimization
The performance of multi-objective evolutionary algorithms deteriorates ...
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12/13/2017
Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations
Deep Learning (DL) aims at learning the meaningful representations. A me...
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12/19/2016