Objective-hierarchy based large-scale evolutionary algorithm for improving joint sparsity-compression of neural network
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Objective-hierarchy based large-scale evolutionary algorithm for improving joint sparsity-compression of neural network
Authors
Keywords
-
Journal
INFORMATION SCIENCES
Volume 640, Issue -, Pages 119095
Publisher
Elsevier BV
Online
2023-05-06
DOI
10.1016/j.ins.2023.119095
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Evolving long short-term memory neural network for wind speed forecasting
- (2023) Cong Huang et al. INFORMATION SCIENCES
- Heterogeneous cognitive learning particle swarm optimization for large-scale optimization problems
- (2023) En Zhang et al. INFORMATION SCIENCES
- Jointly optimized ensemble deep random vector functional link network for semi-supervised classification
- (2022) Qiushi Shi et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Block term decomposition with distinct time granularities for temporal knowledge graph completion
- (2022) Yujing Lai et al. EXPERT SYSTEMS WITH APPLICATIONS
- A diversity preservation method for expensive multi-objective combinatorial optimization problems using Novel-First Tabu Search and MOEA/D
- (2022) Matheus Bernardelli de Moraes et al. EXPERT SYSTEMS WITH APPLICATIONS
- A structure noise-aware tensor dictionary learning method for high-dimensional data clustering
- (2022) Jing-Hua Yang et al. INFORMATION SCIENCES
- Short-term PV power forecasting using variational mode decomposition integrated with Ant colony optimization and neural network
- (2022) Solomon Netsanet et al. Energy Reports
- Intelligent scheduling method for multi-machine cooperative operation based on NSGA-III and improved ant colony algorithm
- (2022) Shichao Li et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Gravity particle swarm optimization algorithm for solving shop visit balancing problem for repairable equipment
- (2022) Xiangzhao Xia et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization
- (2021) Cheng He et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Tensor decomposition-based alternate sub-population evolution for large-scale many-objective optimization
- (2021) Qingzhu Wang et al. INFORMATION SCIENCES
- Multi-stage dimension reduction for expensive sparse multi-objective optimization problems
- (2021) Zheng Tan et al. NEUROCOMPUTING
- Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition
- (2021) Zheng Qu et al. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
- A Survey on Evolutionary Construction of Deep Neural Networks
- (2021) Xun Zhou et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Nonlinear tensor train format for deep neural network compression
- (2021) Dingheng Wang et al. NEURAL NETWORKS
- Tensor factorization-based particle swarm optimization for large-scale many-objective problems
- (2021) Qingzhu Wang et al. Swarm and Evolutionary Computation
- Benefits of sparse population sampling in multi-objective evolutionary computing for large-Scale sparse optimization problems
- (2021) Ian Kropp et al. Swarm and Evolutionary Computation
- A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks
- (2021) Shangshang Yang et al. IEEE Transactions on Neural Networks and Learning Systems
- A random dynamic grouping based weight optimization framework for large-scale multi-objective optimization problems
- (2020) Ruochen Liu et al. Swarm and Evolutionary Computation
- A New Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization
- (2020) Ke Shang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems
- (2020) Ye Tian et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Accuracy Versus Simplification in an Approximate Logic Neural Model
- (2020) Junkai Ji et al. IEEE Transactions on Neural Networks and Learning Systems
- Adaptive Offspring Generation for Evolutionary Large-Scale Multiobjective Optimization
- (2020) Cheng He et al. IEEE Transactions on Systems Man Cybernetics-Systems
- A Pattern Mining-Based Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems
- (2020) Ye Tian et al. IEEE Transactions on Cybernetics
- Identifying good algorithm parameters in evolutionary multi- and many-objective optimisation: A visualisation approach
- (2019) David J. Walker et al. APPLIED SOFT COMPUTING
- Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation
- (2019) Cheng He et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems
- (2019) Ye Tian et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Knee-Guided Evolutionary Algorithm for Compressing Deep Neural Networks
- (2019) Yao Zhou et al. IEEE Transactions on Cybernetics
- A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation
- (2018) Heiner Zille et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization
- (2018) Xingyi Zhang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]
- (2017) Ye Tian et al. IEEE Computational Intelligence Magazine
- A Multiobjective Evolutionary Algorithm Based on Decision Variable Analyses for Multiobjective Optimization Problems With Large-Scale Variables
- (2016) Xiaoliang Ma et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies
- (2008) Yaochu Jin et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started