Cover Image

GPU-accelerated Evolutionary Many-objective Optimization Using Tensorized NSGA-III

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Hao, Liang, Zhenyu, Cheng, Ran
Format:	Preprint
Published:	2025
Subjects:	Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA
by: Liang, Zhenyu, et al.
Published: (2024)

Bridging Evolutionary Multiobjective Optimization and GPU Acceleration via Tensorization
by: Liang, Zhenyu, et al.
Published: (2025)

EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning
by: Zheng, Bowen, et al.
Published: (2025)

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

On the Impact of Crossover in Many-Objective Optimization: A Runtime Analysis of NSGA-III
by: Opris, Andre
Published: (2026)

EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation
by: Huang, Beichen, et al.
Published: (2023)

Tensorized Ant Colony Optimization for GPU Acceleration
by: Yang, Luming, et al.
Published: (2024)

TensorNEAT: A GPU-accelerated Library for NeuroEvolution of Augmenting Topologies
by: Wang, Lishuang, et al.
Published: (2025)

Evolutionary Generative Optimization: Towards Fully Data-Driven Evolutionary Optimization via Generative Learning
by: Jiang, Tao, et al.
Published: (2025)

Difficulties of the NSGA-II with the Many-Objective LeadingOnes Problem
by: Doerr, Benjamin, et al.
Published: (2024)

Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration
by: Wang, Lishuang, et al.
Published: (2024)

An Efficient Evolutionary Algorithm for Few-for-Many Optimization
by: Shang, Ke, et al.
Published: (2026)

A Crowding Distance That Provably Solves the Difficulties of the NSGA-II in Many-Objective Optimization
by: Zheng, Weijie, et al.
Published: (2024)

The First Theoretical Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm III (NSGA-III)
by: Deng, Renzhong, et al.
Published: (2025)

Migrant Resettlement by Evolutionary Multi-objective Optimization
by: Liu, Dan-Xuan, et al.
Published: (2023)

A Memetic NSGA-III for Green Flexible Production with Real-Time Energy Costs & Emissions
by: Burmeister, Sascha C
Published: (2024)

Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization
by: Ren, Shengjie, et al.
Published: (2025)

EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization
by: Jiang, Tao, et al.
Published: (2026)

Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining the Inefficiency For Many Objectives
by: Zheng, Weijie, et al.
Published: (2022)

Proven Approximation Guarantees in Multi-Objective Optimization: SPEA2 Beats NSGA-II
by: Alghouass, Yasser, et al.
Published: (2025)

A Two-stage Evolutionary Framework For Multi-objective Optimization
by: Chen, Peng, et al.
Published: (2024)

A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation
by: Zhao, Yifan, et al.
Published: (2024)

A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization
by: Ren, Shengjie, et al.
Published: (2025)

Towards Evolutionary Optimization Using the Ising Model
by: Klüttermann, Simon
Published: (2025)

Near-Tight Runtime Guarantees for Many-Objective Evolutionary Algorithms
by: Wietheger, Simon, et al.
Published: (2024)

Speeding Up the NSGA-II via Dynamic Population Sizes
by: Doerr, Benjamin, et al.
Published: (2025)

An Experimental Approach for Running-Time Estimation of Multi-objective Evolutionary Algorithms in Numerical Optimization
by: Huang, Han, et al.
Published: (2025)

Multidomain Evolutionary Optimization on Combinatorial Problems in Complex Networks
by: Zhao, Jie, et al.
Published: (2024)

Speeding Up the NSGA-II With a Simple Tie-Breaking Rule
by: Doerr, Benjamin, et al.
Published: (2024)

A Multi-objective Evolutionary Algorithm Based on Bi-population with Uniform Sampling for Neural Architecture Search
by: Xue, Yu, et al.
Published: (2026)

Benchmarking Stopping Criteria for Evolutionary Multi-objective Optimization
by: Kitamura, Kenji, et al.
Published: (2026)

Wasserstein Evolution : Evolutionary Optimization as Phase Transition
by: Ouyang, Kaichen, et al.
Published: (2025)

An Evolutionary Algorithm with Probabilistic Annealing for Large-scale Sparse Multi-objective Optimization
by: Shao, Shuai, et al.
Published: (2026)

Scaling Behaviors of Evolutionary Algorithms on GPUs: When Does Parallelism Pay Off?
by: Yu, Xinmeng, et al.
Published: (2026)

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

Multiple-gain Estimation for Running Time of Evolutionary Combinatorial Optimization
by: Huang, Min, et al.
Published: (2025)

A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization
by: Xue, Xiaoming, et al.
Published: (2025)

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

Learning to Transfer for Evolutionary Multitasking
by: Wu, Sheng-Hao, et al.
Published: (2024)

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving
by: Zhang, Yisong, et al.
Published: (2025)