883 citations · 2.5k across the 18 of their papers we have counts for
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Automatically Evolving CNN Architectures Based on Blocks
Yanan Sun, Bing Xue, Mengjie Zhang +1
The performance of Convolutional Neural Networks (CNNs) highly relies on their architectures. In order to design a CNN with promising performance, extended expertise in both CNNs a…
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification
Bin Wang, Yanan Sun, Bing Xue +1
Convolutional Neural Networks (CNNs) have demonstrated their superiority in image classification, and evolutionary computation (EC) methods have recently been surging to automatica…
Automatically designing CNN architectures using genetic algorithm for image classification
Yanan Sun, Bing Xue, Mengjie Zhang +1
Convolutional Neural Networks (CNNs) have gained a remarkable success on many image classification tasks in recent years. However, the performance of CNNs highly relies upon their…
Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification
Bin Wang, Yanan Sun, Bing Xue +1
Convolutional neural networks (CNNs) are one of the most effective deep learning methods to solve image classification problems, but the best architecture of a CNN to solve a speci…
IGD Indicator-based Evolutionary Algorithm for Many-objective Optimization Problems
Yanan Sun, Gary G. Yen, Zhang Yi
Inverted Generational Distance (IGD) has been widely considered as a reliable performance indicator to concurrently quantify the convergence and diversity of multi- and many-object…
Improved Regularity Model-based EDA for Many-objective Optimization
Yanan Sun, Gary G. Yen, Zhang Yi
The performance of multi-objective evolutionary algorithms deteriorates appreciably in solving many-objective optimization problems which encompass more than three objectives. One…