Cover Image

The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Jae Hyeok, Kim, Minwoo, Kim, Minjun, Park, Jinkyoo, Kwon, Changhyun
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

A Hybrid Genetic Algorithm with Type-Aware Chromosomes for Traveling Salesman Problems with Drone
by: Mahmoudinazlou, Sasan, et al.
Published: (2023)

Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems
by: Sobhanan, Abhay, et al.
Published: (2023)

Neural Genetic Search in Discrete Spaces
by: Kim, Hyeonah, et al.
Published: (2025)

Arc Routing Problems with Multiple Trucks and Drones: A Hybrid Genetic Algorithm
by: Sobhanan, Abhay, et al.
Published: (2025)

NeuFACO: Neural Focused Ant Colony Optimization for Traveling Salesman Problem
by: Tran, Dat Thanh, et al.
Published: (2025)

PSO and the Traveling Salesman Problem: An Intelligent Optimization Approach
by: Araújo, Kael Silva, et al.
Published: (2025)

On the Use of Iterative Problem Solving for the Traveling Salesperson Problem with Changing Time Window Constraints
by: Nguyen, Hy, et al.
Published: (2026)

HEATACO: Heatmap-Guided Ant Colony Decoding for Large-Scale Travelling Salesman Problems
by: Lin, Bo-Cheng, et al.
Published: (2026)

RsGCN: Subgraph-Based Rescaling Enhances Generalization of GCNs for Solving Traveling Salesman Problems
by: Huang, Junquan, et al.
Published: (2025)

Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
by: Kim, Hyeonah, et al.
Published: (2024)

Leveraging Symbolic Regression for Heuristic Design in the Traveling Thief Problem
by: Ni, Andrew, et al.
Published: (2024)

Ant Colony Sampling with GFlowNets for Combinatorial Optimization
by: Kim, Minsu, et al.
Published: (2024)

CSRX: A novel Crossover Operator for a Genetic Algorithm applied to the Traveling Salesperson Problem
by: Uray, Martin, et al.
Published: (2023)

Asymptotic Bounds for the Traveling Salesman Problem with Drone
by: Lee, Jae Hyeok, et al.
Published: (2026)

Improvements for mlrose applied to the Traveling Salesperson Problem
by: Wintersteller, Stefan, et al.
Published: (2021)

DTA: Dual Temporal-channel-wise Attention for Spiking Neural Networks
by: Kim, Minje, et al.
Published: (2025)

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

Generating Diverse Challenging Terrains for Legged Robots Using Quality-Diversity Algorithm
by: Esquerre-Pourtère, Arthur, et al.
Published: (2025)

Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks
by: Karuvally, Arjun, et al.
Published: (2024)

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
by: Ye, Haoran, et al.
Published: (2024)

FIMP-HGA: A Novel Approach to Addressing the Partitioning Min-Max Weighted Matching Problem
by: Wang, Yuxuan, et al.
Published: (2024)

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

TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training
by: Lee, Donghyun, et al.
Published: (2024)

Evolutionary Mapping of Neural Networks to Spatial Accelerators
by: Pierro, Alessandro, et al.
Published: (2026)

Bayesian Inference Accelerator for Spiking Neural Networks
by: Katti, Prabodh, et al.
Published: (2024)

Analysis of a Memcapacitor-Based for Neural Network Accelerator Framework
by: Singh, Ankur, et al.
Published: (2025)

A Comparison-Relationship-Surrogate Evolutionary Algorithm for Multi-Objective Optimization
by: Pierce, Christopher M., et al.
Published: (2025)

A More Accurate Approximation of Activation Function with Few Spikes Neurons
by: Jeong, Dayena, et al.
Published: (2024)

Discrete Gene Crossover Accelerates Solution Discovery in Quality-Diversity Algorithms
by: Hutchinson, Joshua, et al.
Published: (2026)

Circuit-centric Genetic Algorithm (CGA) for Analog and Radio-Frequency Circuit Optimization
by: Kwon, Mingi, et al.
Published: (2023)

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

MOANA: Multi-Objective Ant Nesting Algorithm for Optimization Problems
by: Rashed, Noor A., et al.
Published: (2024)

On Scalability of Multi-Objective Evolutionary Algorithms on Combinatorial Optimisation Problems
by: Tang, Menghao, et al.
Published: (2026)

Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances
by: Nikolikj, Ana, et al.
Published: (2023)

Proven Advantage of Multiobjective Evolutionary Algorithms for Problems with Different Degrees of Conflict
by: Zheng, Weijie
Published: (2024)

Runtime Performance of Evolutionary Algorithms for the Chance-constrained Makespan Scheduling Problem
by: Shi, Feng, et al.
Published: (2022)

Dual-Individual Genetic Algorithm: A Dual-Individual Approach for Efficient Training of Multi-Layer Neural Networks
by: Truong, Tran Thuy Nga, et al.
Published: (2025)

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

Solving the Food-Energy-Water Nexus Problem via Intelligent Optimization Algorithms
by: Deng, Qi, et al.
Published: (2024)

In Search of Excellence: SHOA as a Competitive Shrike Optimization Algorithm for Multimodal Problems
by: AbdulKarim, Hanan K., et al.
Published: (2024)