On the public citation graph

On the stability of the Travelling Salesman Problem algorithm of Hopfield and Tank

0 signed · 521 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf00339943openalex-snapshot
“Neural” computation of decisions in optimization problems
inferredcites →https://doi.org/10.1038/326689a0openalex-snapshot
An analogue approach to the travelling salesman problem using an elastic net method
inferredcites →https://doi.org/10.1126/science.220.4598.671openalex-snapshot
Optimization by Simulated Annealing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/(sici)1520-6440(199909)82:9<52::aid-ecjc6>3.0.co;2-hopenalex-snapshot
Current-mode chaotic neuron circuit for the traveling salesman problem
inferred← citeshttps://doi.org/10.1002/(sici)1520-684x(199909)30:10<22::aid-scj3>3.0.co;2-dopenalex-snapshot
Fault-tolerant neural networks with higher functionality
inferred← citeshttps://doi.org/10.1002/047134608x.w5115openalex-snapshot
Neural Nets, Hopfield
inferred← citeshttps://doi.org/10.1002/9780470050118.ecse183openalex-snapshot
Hopfield Neural Networks
inferred← citeshttps://doi.org/10.1002/9781119836667.ch13openalex-snapshot
Neural Networks and Their Applications
inferred← citeshttps://doi.org/10.1002/aisy.202500655openalex-snapshot
Large‐Scale and Highly Reliable Hopfield Neural Networks Using Vertical NAND Flash Memory for the In‐Memory Associative Computing
inferred← citeshttps://doi.org/10.1002/asjc.2507openalex-snapshot
An improved Hopfield Lagrange network with application on motor efficiency optimization
inferred← citeshttps://doi.org/10.1002/cpe.4330030609openalex-snapshot
Physical computation
inferred← citeshttps://doi.org/10.1002/ecjb.10070openalex-snapshot
“Optimal” neural representation of higher order for traveling salesman problems
inferred← citeshttps://doi.org/10.1002/int.4550070804openalex-snapshot
Application of a neural network to a design optimization process
inferred← citeshttps://doi.org/10.1002/scj.4690230804openalex-snapshot
Analysis of neural network energy functions using standard forms
inferred← citeshttps://doi.org/10.1002/scj.4690240609openalex-snapshot
A neural algorithm incorporating winner‐take‐all subnets for combinatorial optimization
inferred← citeshttps://doi.org/10.1002/spe.4380201002openalex-snapshot
On the distributed parallel simulation of Hopfield's neural networks
inferred← citeshttps://doi.org/10.1006/jvci.1998.0396openalex-snapshot
Symmetry-Based Indexing of Image Databases
inferred← citeshttps://doi.org/10.1007/0-306-48056-5_15openalex-snapshot
Artificial Neural Networks for Combinatorial Optimization
inferred← citeshttps://doi.org/10.1007/11427391_118openalex-snapshot
Theoretical Analysis and Parameter Setting of Hopfield Neural Networks
inferred← citeshttps://doi.org/10.1007/11427391_121openalex-snapshot
A Sweep-Based TCNN Algorithm for Capacity Vehicle Routing Problem
inferred← citeshttps://doi.org/10.1007/11427391_126openalex-snapshot
Heuristic Combined Artificial Neural Networks to Schedule Hybrid Flow Shop with Sequence Dependent Setup Times
inferred← citeshttps://doi.org/10.1007/3-540-35730-0_5openalex-snapshot
Expert Systems and Artificial Neural Networks for Spatial Analysis and Modelling
inferred← citeshttps://doi.org/10.1007/3-540-44868-3_52openalex-snapshot
An N-Parallel Multivalued Network: Applications to the Travelling Salesman Problem
inferred← citeshttps://doi.org/10.1007/3-540-44868-3_53openalex-snapshot
Parallel ACS for weighted MAX-SAT
inferred← citeshttps://doi.org/10.1007/3-540-44989-2_137openalex-snapshot
Feature Analysis and Classification of Protein Secondary Structure Data
inferred← citeshttps://doi.org/10.1007/3-540-46084-5_157openalex-snapshot
Goal Sequencing for Construction Agents in a Simulated Environment
inferred← citeshttps://doi.org/10.1007/3-540-55425-4_4openalex-snapshot
Connectionist inference systems
inferred← citeshttps://doi.org/10.1007/3-540-59119-2_186openalex-snapshot
Some theorems concerning the free energy of (Un) constrained stochastic Hopfield neural networks
inferred← citeshttps://doi.org/10.1007/978-1-349-13255-3_49openalex-snapshot
Intelligent Scheduling of Sequence Dependent Set-Up Times Using Neural Network
inferred← citeshttps://doi.org/10.1007/978-1-4419-7997-1_43openalex-snapshot
Dynamical System Approaches to Combinatorial Optimization∗
inferred← citeshttps://doi.org/10.1007/978-1-4419-7997-1_65openalex-snapshot
Neural Network Models in Combinatorial Optimization
inferred← citeshttps://doi.org/10.1007/978-1-4471-2063-6_282openalex-snapshot
Neural Networks and the Travelling Salesman Problem
inferred← citeshttps://doi.org/10.1007/978-1-4613-0303-9_18openalex-snapshot
Dynamical System Approaches to Combinatorial Optimization
inferred← citeshttps://doi.org/10.1007/978-1-4613-1195-9_10openalex-snapshot
Compu-search methodologies II: Scheduling using genetic algorithms and artificial neural networks
inferred← citeshttps://doi.org/10.1007/978-1-4613-9098-5_16openalex-snapshot
Scaling and Optimization for List-Matching
inferred← citeshttps://doi.org/10.1007/978-1-4615-2247-8_5openalex-snapshot
Cellular Neural Networks
inferred← citeshttps://doi.org/10.1007/978-1-4615-2836-4_5openalex-snapshot
Feature Based, Collision Free Inspection Path Planning
inferred← citeshttps://doi.org/10.1007/978-1-4615-3642-0_1openalex-snapshot
Neural Network Models and N-Queen Problems
inferred← citeshttps://doi.org/10.1007/978-1-4615-3984-1_2openalex-snapshot
VLSI Hopfield Networks
inferred← citeshttps://doi.org/10.1007/978-1-4615-5209-3_33openalex-snapshot
Fast Dempster-Shafer Clustering Using a Neural Network Structure
inferred← citeshttps://doi.org/10.1007/978-1-4615-5775-3_27openalex-snapshot
A Hopfield-Tank Neural Network Model for the Generalized Traveling Salesman Problem
inferred← citeshttps://doi.org/10.1007/978-3-030-44992-6_15openalex-snapshot
Nonlinear Systems for Unconventional Computing
inferred← citeshttps://doi.org/10.1007/978-3-319-16000-9_3openalex-snapshot
Constrained Probability Collectives: A Heuristic Approach
inferred← citeshttps://doi.org/10.1007/978-3-319-48506-5_17openalex-snapshot
High Capacity Content Addressable Memory with Mixed Order Hyper Networks
inferred← citeshttps://doi.org/10.1007/978-3-540-24840-8_28openalex-snapshot
A Chaotic Neural Network for the Maximum Clique Problem
inferred← citeshttps://doi.org/10.1007/978-3-540-30585-9_6openalex-snapshot
A Study on the Machine Loading Problem Considering Machine-Breakdown in Flexible Manufacturing Systems
inferred← citeshttps://doi.org/10.1007/978-3-540-69158-7_24openalex-snapshot
A Ring Model for the Development of Simple Cells in the Visual Cortex
inferred← citeshttps://doi.org/10.1007/978-3-540-69162-4_44openalex-snapshot
A Novel Chaotic Neural Network for Function Optimization
inferred← citeshttps://doi.org/10.1007/978-3-540-71984-7_17openalex-snapshot
Noisy Chaotic Neural Networks for Combinatorial Optimization
inferred← citeshttps://doi.org/10.1007/978-3-540-74565-5_30openalex-snapshot
Stochastic Functional Annealing as Optimization Technique: Application to the Traveling Salesman Problem with Recurrent Networks
inferred← citeshttps://doi.org/10.1007/978-3-540-74690-4_61openalex-snapshot
Fixed Points of the Abe Formulation of Stochastic Hopfield Networks
inferred← citeshttps://doi.org/10.1007/978-3-642-00909-9_28openalex-snapshot
Incorporating Hopfield Neural Networks into Ant Colony System for Traveling Salesman Problem
inferred← citeshttps://doi.org/10.1007/978-3-642-21498-1_14openalex-snapshot
Parallelism in Binary Hopfield Networks
inferred← citeshttps://doi.org/10.1007/978-3-642-74554-6_67openalex-snapshot
Stochastic Dynamics of an Analog Neural Network
inferred← citeshttps://doi.org/10.1007/978-3-642-74563-8_14openalex-snapshot
Informationsverarbeitung in neuronalen Netzen
inferred← citeshttps://doi.org/10.1007/978-3-642-76153-9_24openalex-snapshot
Neural Network Applications in the Edinburgh Concurrent Supercomputer Project
inferred← citeshttps://doi.org/10.1007/978-3-642-84837-7_6openalex-snapshot
Optimisation
inferred← citeshttps://doi.org/10.1007/978-3-662-47484-6_1openalex-snapshot
Introduction to Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-7091-6230-9_14openalex-snapshot
Graded Rescaling in Hopfield Networks
inferred← citeshttps://doi.org/10.1007/978-3-7091-6384-9_12openalex-snapshot
Improving the Performance of the Hopfield Network By Using A Relaxation Rate
inferred← citeshttps://doi.org/10.1007/978-3-7091-6384-9_13openalex-snapshot
A New Activation Function in the Hopfield Network for Solving Optimization Problems
inferred← citeshttps://doi.org/10.1007/978-81-322-1563-9_1openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1007/978-81-322-1563-9_2openalex-snapshot
Background
inferred← citeshttps://doi.org/10.1007/978-94-009-0643-3_63openalex-snapshot
An Experiment with 3-D Surface Maps to Illustrate Neural Network Performance
inferred← citeshttps://doi.org/10.1007/978-94-009-3117-6_19openalex-snapshot
Experiences with Computers of Highly Parallel Architectures
inferred← citeshttps://doi.org/10.1007/978-94-011-0305-3_11openalex-snapshot
Neural Networks in Robot Control
inferred← citeshttps://doi.org/10.1007/978-94-011-0713-6_2openalex-snapshot
Intelligent systems architecture: Design techniques
inferred← citeshttps://doi.org/10.1007/978-94-011-0713-6_8openalex-snapshot
Scheduling
inferred← citeshttps://doi.org/10.1007/978-94-011-5498-7_4openalex-snapshot
Control of Robotic Manipulators Using Neural Networks — A Survey
inferred← citeshttps://doi.org/10.1007/bf00197648openalex-snapshot
On problem solving with Hopfield neural networks
inferred← citeshttps://doi.org/10.1007/bf00199592openalex-snapshot
Convergence properties of a modified Hopfield-Tank model
inferred← citeshttps://doi.org/10.1007/bf00199598openalex-snapshot
Markovian neural networks
inferred← citeshttps://doi.org/10.1007/bf00201419openalex-snapshot
Solving the N-Queens problem with a binary Hopfield-type network
inferred← citeshttps://doi.org/10.1007/bf00202388openalex-snapshot
Suboptimum solutions obtained by the Hopfield-Tank neural network algorithm
inferred← citeshttps://doi.org/10.1007/bf00202610openalex-snapshot
A study of the application of Kohonen-type neural networks to the Travelling Salesman Problem
inferred← citeshttps://doi.org/10.1007/bf00203001openalex-snapshot
Improving the performance of the Hopfield-Tank neural network through normalization and annealing
inferred← citeshttps://doi.org/10.1007/bf00204755openalex-snapshot
A neural network algorithm for the multiple traveling salesmen problem
inferred← citeshttps://doi.org/10.1007/bf00204774openalex-snapshot
Scaling the neural TSP algorithm
inferred← citeshttps://doi.org/10.1007/bf00206222openalex-snapshot
A goal programming network for linear programming
inferred← citeshttps://doi.org/10.1007/bf00368972openalex-snapshot
Neural networks in robotics: A survey
inferred← citeshttps://doi.org/10.1007/bf00437601openalex-snapshot
Artificial neural network based robot control: An overview
inferred← citeshttps://doi.org/10.1007/bf01414004openalex-snapshot
An empirical comparison of neural techniques for edge linking of images
inferred← citeshttps://doi.org/10.1007/bf01414161openalex-snapshot
A higher order Hopfield network for vector quantisation
inferred← citeshttps://doi.org/10.1007/bf01414168openalex-snapshot
Solving large scale combinatorial optimisation problems based on a divide and conquer strategy
inferred← citeshttps://doi.org/10.1007/bf01473902openalex-snapshot
Design of a real-time AND/OR assembly scheduler on an optimization neural network
inferred← citeshttps://doi.org/10.1007/bf01531071openalex-snapshot
Neural networks and heuristic search
inferred← citeshttps://doi.org/10.1007/bf01719249openalex-snapshot
Local search with memory: benchmarking RTS
inferred← citeshttps://doi.org/10.1007/bf02125421openalex-snapshot
Metaheuristics: A bibliography
inferred← citeshttps://doi.org/10.1007/bf02269696openalex-snapshot
Use of artificial neural networks for the classification of vegetable oils after GC analysis
inferred← citeshttps://doi.org/10.1007/bf02948390openalex-snapshot
Competition based neural networks for assignment problems
inferred← citeshttps://doi.org/10.1007/bfb0027028openalex-snapshot
Optimisation networks
inferred← citeshttps://doi.org/10.1007/s00170-003-1642-xopenalex-snapshot
Efficient inspection planning for coordinate measuring machines
inferred← citeshttps://doi.org/10.1007/s00422-024-01002-0openalex-snapshot
Beyond the Nobel prizes: towards new synergies between Computational Neuroscience and Artificial Intelligence
inferred← citeshttps://doi.org/10.1007/s00500-016-2039-8openalex-snapshot
Improving the Hopfield model performance when applied to the traveling salesman problem
inferred← citeshttps://doi.org/10.1007/s00521-011-0594-6openalex-snapshot
Transient chaotic neural network-based disjoint multipath routing for mobile ad-hoc networks
inferred← citeshttps://doi.org/10.1007/s00521-012-1202-0openalex-snapshot
A novel hybrid-maximum neural network in stereo-matching process
inferred← citeshttps://doi.org/10.1007/s00521-018-3535-9openalex-snapshot
Hysteretic noisy frequency conversion sinusoidal chaotic neural network for traveling salesman problem
inferred← citeshttps://doi.org/10.1007/s10626-009-0067-6openalex-snapshot
Ordinal Optimization and Quantification of Heuristic Designs
inferred← citeshttps://doi.org/10.1007/s11063-007-9047-8openalex-snapshot
Improving Neural Networks for Mechanism Kinematic Chain Isomorphism Identification
inferred← citeshttps://doi.org/10.1007/s11227-008-0183-3openalex-snapshot
Fault-aware grid scheduling using performance prediction by workload modeling
inferred← citeshttps://doi.org/10.1007/s11767-997-1013-5openalex-snapshot
Distributed parameter neural networks for solving partial differential equations
inferred← citeshttps://doi.org/10.1007/s12591-011-0084-4openalex-snapshot
Solving Combinatorial Optimization Problems Using Augmented Lagrange Chaotic Simulated Annealing
inferred← citeshttps://doi.org/10.1007/s42979-023-02575-6openalex-snapshot
Hybrid Hopfield Neural Network
inferred← citeshttps://doi.org/10.1016/0004-3702(94)00032-vopenalex-snapshot
Reasoning, nonmonotonicity and learning in connectionist networks that capture propositional knowledge
inferred← citeshttps://doi.org/10.1016/0010-4655(88)90004-5openalex-snapshot
Neural networks and cellular automata in experimental high energy physics
inferred← citeshttps://doi.org/10.1016/0020-0255(94)00052-dopenalex-snapshot
Mapping combinatorial optimization problems onto neural networks
inferred← citeshttps://doi.org/10.1016/0031-3203(94)00166-jopenalex-snapshot
Pattern recognition by graph matching using the Potts MFT neural networks
inferred← citeshttps://doi.org/10.1016/0167-2789(94)90282-8openalex-snapshot
Solution of the optimization problem using the neural network model as a globally coupled map
inferred← citeshttps://doi.org/10.1016/0167-9260(92)90004-iopenalex-snapshot
A simulated annealing multi-layer router
inferred← citeshttps://doi.org/10.1016/0198-9715(94)90026-4openalex-snapshot
From conventional to knowledge-based geographic information systems
inferred← citeshttps://doi.org/10.1016/0262-8856(88)90010-8openalex-snapshot
Image labelling: a neural network approach
inferred← citeshttps://doi.org/10.1016/0262-8856(95)91467-ropenalex-snapshot
Pattern recognition by homomorphic graph matching using Hopfield neural networks
inferred← citeshttps://doi.org/10.1016/0278-6125(96)84192-6openalex-snapshot
Neural network modeling for tool path planning of the rough cut in complex pocket milling
inferred← citeshttps://doi.org/10.1016/0304-3975(95)00085-2openalex-snapshot
Solving optimization problems with variable-constraint by an extended Cohen-Grossberg model
inferred← citeshttps://doi.org/10.1016/0304-3975(95)00134-4openalex-snapshot
A unified constructive network model for problem-solving
inferred← citeshttps://doi.org/10.1016/0305-0548(92)90001-lopenalex-snapshot
An intelligent algorithm for mixed-integer programming models
inferred← citeshttps://doi.org/10.1016/0305-0548(92)90044-6openalex-snapshot
Neural network methods in combinatorial optimization
inferred← citeshttps://doi.org/10.1016/0305-0548(92)90045-7openalex-snapshot
Scheduling with neural networks—the case of the hubble space telescope
inferred← citeshttps://doi.org/10.1016/0305-0548(92)90050-fopenalex-snapshot
A connectionist approach to the quadratic assignment problem
inferred← citeshttps://doi.org/10.1016/0305-0548(92)90051-6openalex-snapshot
Recurrent neural networks for linear programming: Analysis and design principles
inferred← citeshttps://doi.org/10.1016/0305-0548(95)00017-gopenalex-snapshot
“Conscientious” neural nets for tour construction in the traveling salesman problem: the vigilant net
inferred← citeshttps://doi.org/10.1016/0305-0548(95)00064-xopenalex-snapshot
A hybrid neural approach to combinatorial optimization
inferred← citeshttps://doi.org/10.1016/0360-8352(93)90302-eopenalex-snapshot
Artificial neural networks for flexible manufacturing systems scheduling
inferred← citeshttps://doi.org/10.1016/0375-9601(89)90674-9openalex-snapshot
A new dynamical approach to the travelling salesman problem
inferred← citeshttps://doi.org/10.1016/0375-9601(91)90677-zopenalex-snapshot
A chaos neuro-computer
inferred← citeshttps://doi.org/10.1016/0377-2217(90)90085-popenalex-snapshot
Introduction to computation and learning in artificial neural networks
inferred← citeshttps://doi.org/10.1016/0377-2217(96)00040-9openalex-snapshot
Traditional heuristic versus Hopfield neural network approaches to a car sequencing problem
inferred← citeshttps://doi.org/10.1016/0377-2217(96)00047-1openalex-snapshot
Massively parallel analog tabu search using neural networks applied to simple plant location problems
inferred← citeshttps://doi.org/10.1016/0743-7315(89)90062-2openalex-snapshot
Entropy driven Artificial Neuronal Networks and sensorial representation: A proposal
inferred← citeshttps://doi.org/10.1016/0743-7315(89)90066-xopenalex-snapshot
Code generation by a generalized neural network: General principles and elementary examples
inferred← citeshttps://doi.org/10.1016/0743-7315(92)90069-yopenalex-snapshot
Parallel implementation and capabilities of entropy-driven artificial neural networks
inferred← citeshttps://doi.org/10.1016/0893-6080(89)90004-xopenalex-snapshot
Emulating the dynamics for a class of laterally inhibited neural networks
inferred← citeshttps://doi.org/10.1016/0893-6080(91)90004-oopenalex-snapshot
Effective neural algorithms for the traveling salesman problem
inferred← citeshttps://doi.org/10.1016/0893-6080(91)90046-8openalex-snapshot
State evaluation functions and Lyapunov functions for neural networks
inferred← citeshttps://doi.org/10.1016/0893-6080(95)00033-vopenalex-snapshot
Chaotic simulated annealing by a neural network model with transient chaos
inferred← citeshttps://doi.org/10.1016/0893-6080(95)00114-xopenalex-snapshot
Asymmetric Hopfield-type networks: Theory and applications
inferred← citeshttps://doi.org/10.1016/0893-6080(96)00016-0openalex-snapshot
A New Family of Multivalued Networks
inferred← citeshttps://doi.org/10.1016/0893-6080(96)00017-2openalex-snapshot
An Investigation into the Improvement of Local Minima of the Hopfield Network
inferred← citeshttps://doi.org/10.1016/0893-6080(96)86070-9openalex-snapshot
Weighted parallel problem solving by optimization networks
inferred← citeshttps://doi.org/10.1016/0925-2312(91)90018-7openalex-snapshot
Connectionist networks for constraint satisfaction
inferred← citeshttps://doi.org/10.1016/0925-2312(91)90034-9openalex-snapshot
Initialization in Hopfield networks
inferred← citeshttps://doi.org/10.1016/0925-2312(94)00043-ropenalex-snapshot
Dual-mode dynamics neural network for combinatorial optimization
inferred← citeshttps://doi.org/10.1016/0952-1976(94)00068-xopenalex-snapshot
A neural-network-based computational scheme for generating optimized robotic assembly sequences
inferred← citeshttps://doi.org/10.1016/b978-0-08-042050-9.50022-1openalex-snapshot
OPTIMAL EDGE SELECTION BY THE MODIFIED GENETIC ALGORITHM
inferred← citeshttps://doi.org/10.1016/b978-0-12-546090-3.50013-9openalex-snapshot
LATERALLY-CONNECTED, AUTOASSOCIATIVE NETWORKS
inferred← citeshttps://doi.org/10.1016/b978-0-12-546090-3.50030-9openalex-snapshot
DATA COMMUNICATIONS
inferred← citeshttps://doi.org/10.1016/b978-0-12-741252-8.50011-xopenalex-snapshot
Hopfield Model and Optimization Problems
inferred← citeshttps://doi.org/10.1016/b978-0-444-89178-5.50007-5openalex-snapshot
MATHEMATICAL ASPECTS OF NEURO-DYNAMICS FOR COMBINATORIAL OPTIMIZATION
inferred← citeshttps://doi.org/10.1016/b978-0-444-89178-5.50117-2openalex-snapshot
PLANNET: A NEW NEURAL NET SIMULATOR
inferred← citeshttps://doi.org/10.1016/b978-0-444-89178-5.50123-8openalex-snapshot
DETERMINING WEIGHTS OF THE HOPFIELD NEURAL NETWORKS
inferred← citeshttps://doi.org/10.1016/b978-1-85617-120-5.50018-8openalex-snapshot
Key Technical Concept References
inferred← citeshttps://doi.org/10.1016/j.amc.2004.06.081openalex-snapshot
Primal–dual solution for the linear programming problems using neural networks
inferred← citeshttps://doi.org/10.1016/j.anucene.2011.12.010openalex-snapshot
Optimizing the fuel management in a VVER-1000 reactor using an artificial neural network
inferred← citeshttps://doi.org/10.1016/j.apm.2025.115965openalex-snapshot
Understanding instance hardness for optimisation algorithms: Methodologies, open challenges and post-quantum implications
inferred← citeshttps://doi.org/10.1016/j.asoc.2008.07.009openalex-snapshot
Optimal matching by the transiently chaotic neural network
inferred← citeshttps://doi.org/10.1016/j.asoc.2014.03.018openalex-snapshot
Using Hopfield neural network to optimize fuel rod loading patterns in VVER/1000 reactor by applying axial variation of enrichment distribution
inferred← citeshttps://doi.org/10.1016/j.asoc.2015.06.011openalex-snapshot
Parallelized neural network system for solving Euclidean traveling salesman problem
inferred← citeshttps://doi.org/10.1016/j.chaos.2005.10.059openalex-snapshot
A columnar competitive model for solving multi-traveling salesman problem
inferred← citeshttps://doi.org/10.1016/j.cie.2026.112210openalex-snapshot
A novel NSGA-II method integrated with Hopfield Neural Network for solving the multi-objective drone routing problem: pharmaceutical distribution application
inferred← citeshttps://doi.org/10.1016/j.comcom.2006.04.016openalex-snapshot
An entropy-constrained algorithm for routing of communication networks
inferred← citeshttps://doi.org/10.1016/j.cviu.2010.10.013openalex-snapshot
Measuring 3D shape similarity by graph-based matching of the medial scaffolds
inferred← citeshttps://doi.org/10.1016/j.ejor.2004.06.015openalex-snapshot
The impact of energy function structure on solving generalized assignment problem using Hopfield neural network
inferred← citeshttps://doi.org/10.1016/j.ejor.2008.11.002openalex-snapshot
A review of Hopfield neural networks for solving mathematical programming problems
inferred← citeshttps://doi.org/10.1016/j.eswa.2010.01.002openalex-snapshot
Integrating data transformation techniques with Hopfield neural networks for solving travelling salesman problem
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.114666openalex-snapshot
NeuroEvolution of augmenting topologies for solving a two-stage hybrid flow shop scheduling problem: A comparison of different solution strategies
inferred← citeshttps://doi.org/10.1016/j.future.2008.01.003openalex-snapshot
A parallel solution for scheduling of real time applications on grid environments
inferred← citeshttps://doi.org/10.1016/j.ins.2022.07.150openalex-snapshot
ML-MMAS: Self-learning ant colony optimization for multi-criteria journey planning
inferred← citeshttps://doi.org/10.1016/j.jmatprotec.2008.11.019openalex-snapshot
Distortion-oriented welding path optimization based on elastic net method and genetic algorithm
inferred← citeshttps://doi.org/10.1016/j.neucom.2004.09.005openalex-snapshot
An efficient parallel algorithm for the minimum crossing number problem
inferred← citeshttps://doi.org/10.1016/j.neucom.2005.03.003openalex-snapshot
Lagrangian object relaxation neural network for combinatorial optimization problems
inferred← citeshttps://doi.org/10.1016/j.neucom.2008.09.011openalex-snapshot
An improved elastic net method for traveling salesman problem
inferred← citeshttps://doi.org/10.1016/j.neucom.2009.12.031openalex-snapshot
Fast hopfield neural networks using subspace projections
inferred← citeshttps://doi.org/10.1016/j.neunet.2005.06.022openalex-snapshot
A mixed analog/digital chaotic neuro-computer system for quadratic assignment problems
inferred← citeshttps://doi.org/10.1016/j.pnucene.2013.01.001openalex-snapshot
Evaluation of applying axial variation of enrichment distribution method and radial variation of enrichment distribution in VVER/1000 reactor using a Hopfield neural network to optimize fuel management
inferred← citeshttps://doi.org/10.1016/s0007-8506(07)63205-3openalex-snapshot
Architectural Design of Neural Network Hardware for Job Shop Scheduling
inferred← citeshttps://doi.org/10.1016/s0020-0190(00)00116-2openalex-snapshot
Solving the Hamiltonian cycle problem via an artificial neural network
inferred← citeshttps://doi.org/10.1016/s0031-3203(00)00040-6openalex-snapshot
Annealed chaotic neural network with nonlinear self-feedback and its application to clustering problem
inferred← citeshttps://doi.org/10.1016/s0031-3203(98)80010-1openalex-snapshot
New algorithms for 2D and 3D point matching
inferred← citeshttps://doi.org/10.1016/s0065-2458(08)60404-0openalex-snapshot
Neural Networks for Pattern Recognition
inferred← citeshttps://doi.org/10.1016/s0098-3004(96)00041-6openalex-snapshot
Spatial analysis using unsupervised neural networks
inferred← citeshttps://doi.org/10.1016/s0129-0657(02)00105-9openalex-snapshot
A SEMI-LOCALIZED ELASTIC NET FOR SURFACE RECONSTRUCTION OF OBJECTS FROM MULTISLICE IMAGES
inferred← citeshttps://doi.org/10.1016/s0278-6125(98)80077-0openalex-snapshot
A survey of factory control algorithms that can be implemented in a multi-agent heterarchy: Dispatching, scheduling, and pull
inferred← citeshttps://doi.org/10.1016/s0305-0548(00)00101-5openalex-snapshot
Design rules for application specific dynamical systems
inferred← citeshttps://doi.org/10.1016/s0305-0548(02)00028-xopenalex-snapshot
Modelling competitive Hopfield networks for the maximum clique problem
inferred← citeshttps://doi.org/10.1016/s0360-8352(02)00180-8openalex-snapshot
Hopfield neural networks for timetabling: formulations, methods, and comparative results
inferred← citeshttps://doi.org/10.1016/s0360-8352(96)00218-5openalex-snapshot
Lagrangian ANN for convex programming with linear constraints
inferred← citeshttps://doi.org/10.1016/s0362-546x(97)00308-8openalex-snapshot
Neural networks for NP-complete problems
inferred← citeshttps://doi.org/10.1016/s0375-9601(03)01002-8openalex-snapshot
Computational abilities of a chaotic neural network
inferred← citeshttps://doi.org/10.1016/s0736-5845(97)00032-xopenalex-snapshot
Contribution to the scheduling of trajectories in robotics
inferred← citeshttps://doi.org/10.1016/s0893-6080(00)00047-2openalex-snapshot
Experimental analysis of chaotic neural network models for combinatorial optimization under a unifying framework
inferred← citeshttps://doi.org/10.1016/s0893-6080(03)00056-xopenalex-snapshot
The co-adaptive neural network approach to the Euclidean Travelling Salesman Problem
inferred← citeshttps://doi.org/10.1016/s0893-6080(05)80044-9openalex-snapshot
Asymmetric mean-field neural networks for multiprocessor scheduling
inferred← citeshttps://doi.org/10.1016/s0893-6080(05)80074-7openalex-snapshot
An analytical framework for optimizing neural networks
inferred← citeshttps://doi.org/10.1016/s0893-6080(05)80091-7openalex-snapshot
Solving degenerate optimization problems using networks of neural oscillators
inferred← citeshttps://doi.org/10.1016/s0893-6080(05)80132-7openalex-snapshot
An analog neural network to solve the hamiltonian cycle problem
inferred← citeshttps://doi.org/10.1016/s0893-6080(96)00065-2openalex-snapshot
A Neural Algorithm for MAX-2SAT: Performance Analysis and Circuit Implementation
inferred← citeshttps://doi.org/10.1016/s0893-6080(97)00023-3openalex-snapshot
Global bifurcation structure of chaotic neural networks and its application to traveling salesman problems
inferred← citeshttps://doi.org/10.1016/s0893-6080(98)00077-xopenalex-snapshot
Constrained neural approaches to quadratic assignment problems
inferred← citeshttps://doi.org/10.1016/s0893-6080(99)00051-9openalex-snapshot
On redundancy in neural architecture: dynamics of a simple module-based neural network and initial-state independence
inferred← citeshttps://doi.org/10.1016/s0895-7177(01)00067-xopenalex-snapshot
Stability analysis of Hopfield neural networks with uncertainty
inferred← citeshttps://doi.org/10.1016/s0895-7177(02)00254-6openalex-snapshot
A study of the transiently chaotic neural network for combinatorial optimization
inferred← citeshttps://doi.org/10.1016/s0898-1221(98)00172-2openalex-snapshot
Solving convex programming problems with equality constraints by neural networks
inferred← citeshttps://doi.org/10.1016/s0925-2312(01)00337-xopenalex-snapshot
Hopfield neural networks for optimization: study of the different dynamics
showing the first 200 of 518 · page through all 518
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.