Suchergebnisse - neural combinatorial optimization

Neural combinatorial optimization: A tutorial von Angioni, Davide, Archetti, Claudia, Speranza, M. Grazia

“… This paper presents neural combinatorial optimization (NCO) as a framework for constructing functions that work as heuristics for CO problems …”
Volltext

Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning von Yu, James J. Q., Yu, Wen, Gu, Jiatao

“… To develop routes with minimal time, in this paper, we propose a novel deep reinforcement learning-based neural combinatorial optimization strategy …”
Volltext

Neural Combinatorial Optimization with Explanation von Liu, Zhaoyi, Duan, Qianqian

“… Different from traditional operational research optimization algorithms, Deep Learning can solve combinatorial optimization problems in real time and has been widely used …”
Volltext

Enhancing neural combinatorial optimization by progressive training paradigm von Cao, Zhi, Wu, Yaoxin, Hou, Yaqing, Ge, Hongwei

“… Neural Combinatorial Optimization (NCO) methods have garnered considerable attention, due to their effectiveness in automatic algorithm design for solving combinatorial optimization problems …”
Volltext

Neural combinatorial optimization for multi-rendezvous mission design von López Rivera, Antonio, Naeije, Marc

“… •Applied Neural Combinatorial Optimization to plan low-thrust multi-target rendezvous sequences for Active Debris Removal missions …”
Volltext

Neural Combinatorial Optimization for Multiobjective Task Offloading in Mobile Edge Computing von Xiao, Xiang-Jie, Wang, Yong, Huang, Pei-Qiu, Wang, Kezhi

“… When the preference changes, the trained model may not perform well and needs to be retrained. To address this issue, we propose a neural combinatorial optimization method that combines an encoder-decoder model with reinforcement learning …”
Volltext

Neural combinatorial optimization with reinforcement learning in industrial engineering: a survey von Chung, K. T., Lee, C. K. M., Tsang, Y. P.

“… Based on the above stringent requirements, combinatorial optimization (CO) problems are thus developed to support the complicated decision-making process in operations research …”
Volltext

A Learning-Based Assembly Sequence Planning Method Using Neural Combinatorial Optimization With Satisfactory Generalization Ability von Hou, Ruiming, Xu, Sheng, Yang, Chenguang, Duan, Jianghua, Wu, Xinyu, Xu, Tiantian

“… Consequently, to further improve the generalization ability and improve the performance of the sequence optimization, a neural combinatorial optimization algorithm combined with a self-learning …”
Volltext

An optimization spiking neural p system for approximately solving combinatorial optimization problems von Zhang, Gexiang, Rong, Haina, Neri, Ferrante, Pérez-Jiménez, Mario J

“… ). This paper proposes a novel way to design a P system for directly obtaining the approximate solutions of combinatorial optimization problems without the aid …”
Weitere Angaben

Multi-Objective Neural Evolutionary Algorithm for Combinatorial Optimization Problems von Shao, Yinan, Lin, Jerry Chun-Wei, Srivastava, Gautam, Guo, Dongdong, Zhang, Hongchun, Yi, Hu, Jolfaei, Alireza

“… ) for combinatorial optimization problems. The proposed MONEADD is an end-to-end algorithm that utilizes genetic operations and rewards signals to evolve neural networks for different combinatorial optimization problems without further engineering …”
Volltext

A distributed adaptive optimization spiking neural P system for approximately solving combinatorial optimization problems von Dong, Jianping, Zhang, Gexiang, Luo, Biao, Yang, Qiang, Guo, Dequan, Rong, Haina, Zhu, Ming, Zhou, Kang

“… An optimization spiking neural P system (OSNPS) aims to obtain the approximate solutions of combinatorial optimization problems without the aid of evolutionary operators of evolutionary algorithms or swarm intelligence algorithms …”
Volltext

Graph Representation Learning with Graph Transformers in Neural Combinatorial Optimization von Wang, Tianze, Payberah, Amir H., Vlassov, Vladimir

“… Neural combinatorial optimization aims to use neural networks to speed up the solving process of combinatorial optimization problems, i.e …”
Volltext

A hybrid neural combinatorial optimization framework assisted by automated algorithm design von Ma, Liang, Hao, Xingxing, Zhou, Wei, He, Qianbao, Zhang, Ruibang, Chen, Li

“… In recent years, the application of Neural Combinatorial Optimization (NCO) techniques in Combinatorial Optimization (CO …”
Volltext

A Privacy-Preserving Service Framework for Traveling Salesman Problem-Based Neural Combinatorial Optimization Network von Liu, Jiao, Li, Xinghua, Liu, Ximeng, Tang, Jiawei, Ma, Siqi, Weng, Jian

“… Neural network has shown great potential in combinatorial optimization tasks. However, it faces privacy leakage when a TSP neural combinatorial optimization network …”
Volltext

Neural Combinatorial Optimization for Energy-Efficient Offloading in Mobile Edge Computing von Jiang, Qingmiao, Zhang, Yuan, Yan, Jinyao

“… We formulate the problem as a multidimensional multiple knapsack (MMKP) problem with constraints, and propose a neural network architecture called Multi-Pointer networks (Mptr-Net …”
Volltext

Distance-Based Neural Combinatorial Optimization for Context-based Route Planning von Hamzehi, Sascha, Bogenberger, Klaus, Kaltenhauser, Bernd, Tian, Jilei, Chin, Alvin, Cao, Yang

“… Platform-based large-scale journey planning of autonomous vehicles and context-sensitive route planning applications require new scalable approaches in order …”
Volltext

Neural Combinatorial Optimization for Production Scheduling with Sequence-Dependent Setup Waste von Gannouni, Aymen, Samsonov, Vladimir, Behery, Mohamed, Meisen, Tobias, Lakemeyer, Gerhard

“… Solving such problems often relies on methods from the Operations Research (OR) field. Recently, Neural Combinatorial Optimization (NCO …”
Volltext

Energy Efficient Memristive Transiently Chaotic Neural Network for Combinatorial Optimization von Bao, Han, Ren, Pengyu, Xu, Kehong, Yang, Ling, Zhou, Houji, Li, Jiancong, Li, Yi, Miao, Xiangshui

“… The utilization of memristive analog-digital mixed in-memory computing has significantly tackled the issues of massive computing resources and time delays in solving combinatorial optimization problems …”
Volltext

Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization von Cantürk, Furkan, Varol, Taha, Aydoğan, Reyhan, Özener, Okan Örsan

“… By examining the patterns of solutions obtained for various instances, one can gain insights into the structure and behavior of combinatorial optimization (CO …”
Volltext

Neural Improvement Heuristics for Graph Combinatorial Optimization Problems von Garmendia, Andoni I., Ceberio, Josu, Mendiburu, Alexander

“… Recent advances in graph neural network (GNN) architectures and increased computation power have revolutionized the field of combinatorial optimization (CO …”
Volltext