相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Evolutionary Neural Architecture Search for Facial Expression Recognition
Shuchao Deng et al.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE (2023)
Semantics in Multi-objective Genetic Programming
Edgar Galvan et al.
APPLIED SOFT COMPUTING (2022)
Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization
Santiago Mira et al.
PROCEEDINGS OF THE 2022 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'22) (2022)
A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms
Linjun He et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2021)
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification
Zhichao Lu et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2021)
DeepMaker: A multi-objective optimization framework for deep neural networks in embedded systems
Mohammad Loni et al.
MICROPROCESSORS AND MICROSYSTEMS (2020)
Multi-objective metaheuristics for discrete optimization problems: A review of the state-of-the-art
Qi Liu et al.
APPLIED SOFT COMPUTING (2020)
Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs
Rohan Chandra et al.
IEEE ROBOTICS AND AUTOMATION LETTERS (2020)
Interaction-Aware Trajectory Prediction of Connected Vehicles using CNN-LSTM Networks
Xiaoyu Mo et al.
IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (2020)
A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition: Variants, Challenges and Future Directions
Qian Xu et al.
IEEE ACCESS (2020)
Towards Many-Objective Optimization: Objective Analysis, Multi-Objective Optimization and Decision-Making
J. H. Zheng et al.
IEEE ACCESS (2019)
LSTM: A Search Space Odyssey
Klaus Greff et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky et al.
COMMUNICATIONS OF THE ACM (2017)
Mastering the game of Go with deep neural networks and tree search
David Silver et al.
NATURE (2016)
From evolutionary computation to the evolution of things
Agoston E. Eiben et al.
NATURE (2015)
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
Kalyanmoy Deb et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2014)
The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]
Li Deng
IEEE SIGNAL PROCESSING MAGAZINE (2012)
Human-competitive results produced by genetic programming
John R. Koza
GENETIC PROGRAMMING AND EVOLVABLE MACHINES (2010)
MOEA/D: A multiobjective evolutionary algorithm based on decomposition
Qingfu Zhang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2007)
Evolutionary multi-objective optimization: A historical view of the field
Carlos A. Coello Coello
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2006)
A fast and elitist multiobjective genetic algorithm: NSGA-II
K Deb et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)
LSTM recurrent networks learn simple context-free and context-sensitive languages
FA Gers et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2001)