:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Deshmukh, Sonia, Gupta, Shikha, Kumar, Naveen
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing
Online Access:	https://arxiv.org/abs/2406.17713
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Discovering Physics-Informed Neural Networks Model for Solving Partial Differential Equations through Evolutionary Computation
by: Zhang, Bo, et al.
Published: (2024)

Communication-Guided Multi-Mutation Differential Evolution for Crop Model Calibration
by: Aggarwal, Sakshi, et al.
Published: (2026)

Benchmarking Parameter Control Methods in Differential Evolution for Mixed-Integer Black-Box Optimization
by: Tanabe, Ryoji
Published: (2024)

Large Language Model Aided Multi-objective Evolutionary Algorithm: a Low-cost Adaptive Approach
by: Liu, Wanyi, et al.
Published: (2024)

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization
by: Wang, Zhiyuan, et al.
Published: (2026)

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

Lazy Parameter Tuning and Control: Choosing All Parameters Randomly From a Power-Law Distribution
by: Antipov, Denis, et al.
Published: (2021)

Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach
by: Gupta, Avisek, et al.
Published: (2018)

Lexicase Selection Parameter Analysis: Varying Population Size and Test Case Redundancy with Diagnostic Metrics
by: Hernandez, Jose Guadalupe, et al.
Published: (2024)

PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing
by: Chen, Xinyi, et al.
Published: (2024)

Differential Evolution Algorithm based Hyper-Parameters Selection of Transformer Neural Network Model for Load Forecasting
by: Sen, Anuvab, et al.
Published: (2023)

Black-Box Optimization of Mixed Binary-Continuous Variables: Challenges and Opportunities in Evolutionary Model Merging
by: Niloy, Md. Robiul Islam
Published: (2026)

Overcoming Binary Adversarial Optimisation with Competitive Coevolution
by: Lehre, Per Kristian, et al.
Published: (2024)

BCDDO: Binary Child Drawing Development Optimization
by: Issa, Abubakr S., et al.
Published: (2023)

Discovering modular solutions that generalize compositionally
by: Schug, Simon, et al.
Published: (2023)

Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler
by: Vermetten, Diederick, et al.
Published: (2024)

GRASP: GRouped Activation Shared Parameterization for Parameter-Efficient Fine-Tuning and Robust Inference of Transformers
by: Bal, Malyaban, et al.
Published: (2025)

Multi-Objective Quality-Diversity for Crystal Structure Prediction
by: Janmohamed, Hannah, et al.
Published: (2024)

Adaptive Stochastic Natural Gradient Method for Safe Optimization on Binary Space
by: Uchida, Kento, et al.
Published: (2026)

SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation
by: Bal, Malyaban, et al.
Published: (2023)

Enhancing Parameter Control Policies with State Information
by: Covini, Gianluca, et al.
Published: (2025)

Expand-and-Cluster: Parameter Recovery of Neural Networks
by: Martinelli, Flavio, et al.
Published: (2023)

Mapping the Fitness Landscape: A Structure-Guided Approach to Multi-Modal Optimization
by: Xiang, Meng, et al.
Published: (2026)

Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained Models
by: Choong, Han Xiang, et al.
Published: (2022)

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

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

Anytime Analysis on BinVal: Adaptive Parameters Help
by: Kötzing, Timo, et al.
Published: (2026)

Amortized Inference of Neuron Parameters on Analog Neuromorphic Hardware
by: Kaiser, Jakob, et al.
Published: (2026)

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

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

A Multi-objective Optimization Approach for Feature Selection in Gentelligent Systems
by: Ghahramani, Mohammadhossein, et al.
Published: (2025)

Regionalized Metric Framework: A Novel Approach for Evaluating Multimodal Multi-Objective Optimization Algorithms
by: Chen, Jintai, et al.
Published: (2025)

A Self-Ensemble Inspired Approach for Effective Training of Binary-Weight Spiking Neural Networks
by: Meng, Qingyan, et al.
Published: (2025)

An Event-Driven E-Skin System with Dynamic Binary Scanning and real time SNN Classification
by: Li, Gaishan, et al.
Published: (2026)

Trust Region-Based Bayesian Optimisation to Discover Diverse Solutions
by: Perera, Kokila Kasuni, et al.
Published: (2025)

Discovering new robust local search algorithms with neuro-evolution
by: Sakhri, Mohamed Salim Amri, et al.
Published: (2025)

Transient Dynamics in Lattices of Differentiating Ring Oscillators
by: DelMastro, Peter, et al.
Published: (2025)

EvoGrad: Metaheuristics in a Differentiable Wonderland
by: Citterio, Beatrice F. R., et al.
Published: (2025)

Non-Dominated Sorting Bidirectional Differential Coevolution
by: Mendes, Cicero S. R., et al.
Published: (2024)

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