:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Loong, Kam Chi, Han, Shihao, Liu, Sishuo, Lin, Ning, Wang, Zhongrui
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing
Online Access:	https://arxiv.org/abs/2409.18841
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient lattice field theory simulation using adaptive normalizing flow on a resistive memory-based neural differential equation solver
by: Xu, Meng, et al.
Published: (2025)

FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices
by: Raha, Arnab, et al.
Published: (2024)

On Accelerating Edge AI: Optimizing Resource-Constrained Environments
by: Sander, Jacob, et al.
Published: (2025)

Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling
by: Thiruvady, Dhananjay, et al.
Published: (2022)

Runtime Analysis of Evolutionary NAS for Multiclass Classification
by: Lv, Zeqiong, et al.
Published: (2025)

ActNAS : Generating Efficient YOLO Models using Activation NAS
by: Sah, Sudhakar, et al.
Published: (2024)

An Efficient Approach for Solving Expensive Constrained Multiobjective Optimization Problems
by: Rahi, Kamrul Hasan
Published: (2024)

Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization
by: Yin, Haoran, et al.
Published: (2026)

G-EvoNAS: Evolutionary Neural Architecture Search Based on Network Growth
by: Zou, Juan, et al.
Published: (2024)

Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization
by: Wang, Zeyi, et al.
Published: (2024)

GEGO: A Hybrid Golden Eagle and Genetic Optimization Algorithm for Efficient Hyperparameter Tuning in Resource-Constrained Environments
by: Nazarians, Amaras, et al.
Published: (2026)

CAP: A Context-Aware Neural Predictor for NAS
by: Ji, Han, et al.
Published: (2024)

Genetic-based Constraint Programming for Resource Constrained Job Scheduling
by: Nguyen, Su, et al.
Published: (2024)

Zero-Shot NAS via the Suppression of Local Entropy Decrease
by: Wu, Ning, et al.
Published: (2024)

UCPO: A Universal Constrained Combinatorial Optimization Method via Preference Optimization
by: Fang, Zhanhong, et al.
Published: (2025)

MorphoNAS: Embryogenic Neural Architecture Search Through Morphogen-Guided Development
by: Glybovets, Mykola, et al.
Published: (2025)

Decoupling Constraint from Two Direction in Evolutionary Constrained Multi-objective Optimization
by: Sun, Ruiqing, et al.
Published: (2025)

A Detection Region Method-Based Evolutionary Algorithm for Binary Constrained Multiobjective Optimization
by: Huang, Weixiong, et al.
Published: (2024)

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS
by: Cortês, Gabriel, et al.
Published: (2024)

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
by: Lv, Changze, et al.
Published: (2024)

G-ICSO-NAS: Shifting Gears between Gradient and Swarm for Robust Neural Architecture Search
by: Du, Xingbang, et al.
Published: (2026)

Fully Tensorized GPU-accelerated Multi-population Evolutionary Algorithm for Constrained Multiobjective Optimization Problems
by: Huang, Weixiong, et al.
Published: (2025)

Multi-Objective Evolutionary Optimization of Chance-Constrained Multiple-Choice Knapsack Problems with Implicit Probability Distributions
by: Li, Xuanfeng, et al.
Published: (2026)

MS2Edge: Towards Energy-Efficient and Crisp Edge Detection with Multi-Scale Residual Learning in SNNs
by: Fan, Yimeng, et al.
Published: (2025)

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model
by: Yang, Xu, et al.
Published: (2025)

Constrained multi-objective optimization for multi-UAV planning
by: Ramirez-Atencia, Cristian, et al.
Published: (2024)

LLM4CMO: Large Language Model-aided Algorithm Design for Constrained Multiobjective Optimization
by: Chen, Zhen-Song, et al.
Published: (2025)

UAV-assisted Joint Mobile Edge Computing and Data Collection via Matching-enabled Deep Reinforcement Learning
by: Wang, Boxiong, et al.
Published: (2025)

Meta-Black-Box Optimization Can Do Search Guidance for Expensive Constrained Multi-Objective Optimization
by: Du, Yukun, et al.
Published: (2026)

Magic for the Age of Quantized DNNs
by: Sawada, Yoshihide, et al.
Published: (2024)

Evolutionary Algorithm for Chance Constrained Quadratic Multiple Knapsack Problem
by: Perera, Kokila Kasuni, et al.
Published: (2025)

Tiered Acquisition for Constrained Bayesian Optimization: An Application to Analog Circuits
by: Rashid, Ria, et al.
Published: (2024)

Constrained Hybrid Metaheuristic: A Universal Framework for Continuous Optimisation
by: Kowalski, Piotr A., et al.
Published: (2026)

Weighted-Scenario Optimisation for the Chance Constrained Travelling Thief Problem
by: Don, Thilina Pathirage, et al.
Published: (2025)

An Instance Space Analysis of Constrained Multi-Objective Optimization Problems
by: Alsouly, Hanan, et al.
Published: (2022)

Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning
by: Ma, Chenxiang, et al.
Published: (2025)

MD-SNN: Membrane Potential-aware Distillation on Quantized Spiking Neural Network
by: Lee, Donghyun, et al.
Published: (2025)

A Fitness-assignment Method for Evolutionary Constrained Multi-objective Optimization
by: Ajani, Oladayo S., et al.
Published: (2023)

UDE-III: An Enhanced Unified Differential Evolution Algorithm for Constrained Optimization Problems
by: Trivedi, Anupam, et al.
Published: (2024)

Bishop: Sparsified Bundling Spiking Transformers on Heterogeneous Cores with Error-Constrained Pruning
by: Xu, Boxun, et al.
Published: (2025)