Ran Cheng

Orcid: 0000-0001-9410-8263

According to our database1, Ran Cheng authored at least 130 papers between 2010 and 2025.

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Bibliography

2025
A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving.
CoRR, September, 2025

Evolutionary Generative Optimization: Towards Fully Data-Driven Evolutionary Optimization via Generative Learning.
CoRR, August, 2025

VAR-MATH: Probing True Mathematical Reasoning in Large Language Models via Symbolic Multi-Instance Benchmarks.
CoRR, July, 2025

EvoGit: Decentralized Code Evolution via Git-Based Multi-Agent Collaboration.
CoRR, June, 2025

Accurate and Efficient Event-Based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network.
IEEE Trans. Neural Networks Learn. Syst., May, 2025

Diversity-Aware Policy Optimization for Large Language Model Reasoning.
CoRR, May, 2025

Efficient Deep Spiking Multilayer Perceptrons With Multiplication-Free Inference.
IEEE Trans. Neural Networks Learn. Syst., April, 2025

ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-Objective Evolutionary Algorithms [Application Notes].
IEEE Comput. Intell. Mag., February, 2025

ParetoTracker: Understanding Population Dynamics in Multi-Objective Evolutionary Algorithms Through Visual Analytics.
IEEE Trans. Vis. Comput. Graph., January, 2025

EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning.
CoRR, January, 2025

ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-objective Evolutionary Algorithms.
CoRR, January, 2025

Multi-phase constrained multi-objective optimization via heterogeneous transfer.
Inf. Sci., 2025

2024
Automotive Object Detection via Learning Sparse Events by Spiking Neurons.
IEEE Trans. Cogn. Dev. Syst., December, 2024

Sparse Large-Scale Multiobjective Optimization by Identifying Nonzero Decision Variables.
IEEE Trans. Syst. Man Cybern. Syst., October, 2024

Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

Guest Editorial: AutoML for Nonstationary Data.
IEEE Trans. Artif. Intell., June, 2024

Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment.
IEEE Trans. Evol. Comput., April, 2024

Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Toward Asynchronous Commercial Games.
IEEE Trans. Games, March, 2024

Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis.
IEEE Trans. Evol. Comput., February, 2024

A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-Objective Optimization.
IEEE Trans. Vis. Comput. Graph., January, 2024

Competitive Swarm Optimizer: A decade survey.
Swarm Evol. Comput., 2024

Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models.
CoRR, 2024

Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Tensorized Ant Colony Optimization for GPU Acceleration.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023
Surrogate-Assisted Multiobjective Neural Architecture Search for Real-Time Semantic Segmentation.
IEEE Trans. Artif. Intell., December, 2023

Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping.
IEEE Trans. Cybern., November, 2023

RL-CSL: A Combinatorial Optimization Method Using Reinforcement Learning and Contrastive Self-Supervised Learning.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

Machine Learning Assisted Evolutionary Multi-Objective Optimization [Guest Editorial].
IEEE Comput. Intell. Mag., May, 2023

RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning.
IEEE Trans. Neural Networks Learn. Syst., 2023

Guest Editorial Special Issue on Large-Scale Evolutionary Multiobjective Optimization and Its Practical Applications.
IEEE Trans. Evol. Comput., 2023

Bi-fidelity evolutionary multiobjective search for adversarially robust deep neural architectures.
Neurocomputing, 2023

Evolutionary Reinforcement Learning: A Survey.
CoRR, 2023

EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation.
CoRR, 2023

Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services.
Proceedings of the IEEE International Conference on Web Services, 2023

Rethinking Population-assisted Off-policy Reinforcement Learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Accelerating Vision-Language Pretraining with Free Language Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Adaptive Offspring Generation for Evolutionary Large-Scale Multiobjective Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Ternary Compression for Communication-Efficient Federated Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Benchmarking Continuous Dynamic Optimization: Survey and Generalized Test Suite.
IEEE Trans. Cybern., 2022

Adaptive Control of Subpopulations in Evolutionary Dynamic Optimization.
IEEE Trans. Cybern., 2022

SoloGAN: Multi-domain Multimodal Unpaired Image-to-Image Translation via a Single Generative Adversarial Network.
IEEE Trans. Artif. Intell., 2022

A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization.
Swarm Evol. Comput., 2022

Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation.
Memetic Comput., 2022

Thematic issue on knowledge and data driven evolutionary multi-objective optimization.
Memetic Comput., 2022

A benchmark generator for online dynamic single-objective and multi-objective optimization problems.
Inf. Sci., 2022

Hybrid attention-based transformer block model for distant supervision relation extraction.
Neurocomputing, 2022

Evolutionary Large-Scale Multi-Objective Optimization: A Survey.
ACM Comput. Surv., 2022

Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games.
CoRR, 2022

Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation.
CoRR, 2022

Exploiting Context Information for Generic Event Boundary Captioning.
CoRR, 2022

Semantic-Aware Pretraining for Dense Video Captioning.
CoRR, 2022

VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix.
Proceedings of the International Conference on Machine Learning, 2022

2021
A Multistage Evolutionary Algorithm for Better Diversity Preservation in Multiobjective Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Solving Many-Objective Optimization Problems via Multistage Evolutionary Search.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance.
IEEE Trans. Evol. Comput., 2021

A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B.
IEEE Trans. Evol. Comput., 2021

A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A.
IEEE Trans. Evol. Comput., 2021

Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2021

Manifold Learning-Inspired Mating Restriction for Evolutionary Multiobjective Optimization With Complicated Pareto Sets.
IEEE Trans. Cybern., 2021

Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs).
IEEE Trans. Cybern., 2021

Adaptive simulated binary crossover for rotated multi-objective optimization.
Swarm Evol. Comput., 2021

Efficient evolutionary neural architecture search by modular inheritable crossover.
Swarm Evol. Comput., 2021

A parallel multi-objective evolutionary algorithm for community detection in large-scale complex networks.
Inf. Sci., 2021

A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints.
Inf. Sci., 2021

Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation.
CoRR, 2021

End-to-End Dense Video Captioning with Parallel Decoding.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

FaPN: Feature-aligned Pyramid Network for Dense Image Prediction.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dimension Dropout for Evolutionary High-Dimensional Expensive Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Manifold Learning Inspired Mating Restriction for Evolutionary Constrained Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Multi-objective Neural Architecture Search with Almost No Training.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Population Sizing of Evolutionary Large-Scale Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Large-scale Multiobjective Optimization via Problem Decomposition and Reformulation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Evolutionary Large-Scale Multiobjective Optimization for Ratio Error Estimation of Voltage Transformers.
IEEE Trans. Evol. Comput., 2020

Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling.
IEEE Trans. Cybern., 2020

Reformulating preferences into constraints for evolutionary multi- and many-objective optimization.
Inf. Sci., 2020

Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations.
Inf. Sci., 2020

Multimodal Image-to-Image Translation via a Single Generative Adversarial Network.
CoRR, 2020

Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search.
CoRR, 2020

Techniques for Accelerating Multi-Objective Evolutionary Algorithms in PlatEMO.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Iterated Problem Reformulation for Evolutionary Large-Scale Multiobjective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2019

Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation.
IEEE Trans. Evol. Comput., 2019

Solving Incremental Optimization Problems via Cooperative Coevolution.
IEEE Trans. Evol. Comput., 2019

Particle swarm optimization for network-based data classification.
Neural Networks, 2019

Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs).
CoRR, 2019

Diversity Assessment of Multi-Objective Evolutionary Algorithms: Performance Metric and Benchmark Problems [Research Frontier].
IEEE Comput. Intell. Mag., 2019

A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Efficient Evolutionary Neural Architecture Search (NAS) by Modular Inheritable Crossover.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

Efficient Evolutionary Deep Neural Architecture Search (NAS) by Noisy Network Morphism Mutation.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

2018
A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2018

An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility.
IEEE Trans. Evol. Comput., 2018

Evolutionary Multiobjective Optimization-Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection.
IEEE Trans. Evol. Comput., 2018

Feature selection for high-dimensional classification using a competitive swarm optimizer.
Soft Comput., 2018

A competitive mechanism based multi-objective particle swarm optimizer with fast convergence.
Inf. Sci., 2018

Multiobjective Test Problems with Degenerate Pareto Fronts.
CoRR, 2018

A two-stage R2 indicator based evolutionary algorithm for many-objective optimization.
Appl. Soft Comput., 2018

Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems.
IEEE Trans. Evol. Comput., 2017

Test Problems for Large-Scale Multiobjective and Many-Objective Optimization.
IEEE Trans. Cybern., 2017

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization.
CoRR, 2017

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum].
IEEE Comput. Intell. Mag., 2017

Adjusting Parallel Coordinates for Investigating Multi-objective Search.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Nature-Inspired Graph Optimization for Dimensionality Reduction.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Parallel peaks: A visualization method for benchmark studies of multimodal optimization.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2016

Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Network structural optimization based on swarm intelligence for highlevel classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Multi-objective ensemble generation.
WIREs Data Mining Knowl. Discov., 2015

An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2015

A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling.
IEEE Trans. Evol. Comput., 2015

A Competitive Swarm Optimizer for Large Scale Optimization.
IEEE Trans. Cybern., 2015

A social learning particle swarm optimization algorithm for scalable optimization.
Inf. Sci., 2015

Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Demonstrator selection in a social learning particle swarm optimizer.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Simulating swarm behaviuors for optimisation by learning from neighbours.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

A multi-swarm evolutionary framework based on a feedback mechanism.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Bisexual evolution: A novel bisexual evolutionary framework based on the Fisher's runaway process.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2010
Semantic Image Retrieval Based on Multiple-Instance Learning.
Proceedings of the ICDMW 2010, 2010

A Modified Particle Swarm Optimizer with a Novel Operator.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2010


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