Pages that link to "Item:Q4427358"

The following pages link to Neural Networks for Combinatorial Optimization: A Review of More Than a Decade of Research (Q4427358):

Displaying 44 items.

• An accelerated procedure for solving binary optimization problems (Q404203) (← links)
• On the performance of self-organizing maps for the non-Euclidean traveling salesman problem in the polygonal domain (Q433075) (← links)
• Learnheuristics: hybridizing metaheuristics with machine learning for optimization with dynamic inputs (Q521579) (← links)
• A new Lagrangian net algorithm for solving max-bisection problems (Q544198) (← links)
• Some comparisons of complexity in dictionary-based and linear computational models (Q553254) (← links)
• Portfolio selection using neural networks (Q856694) (← links)
• Human resource management and performance: a neural network analysis (Q872296) (← links)
• Self-organizing feature maps for the vehicle routing problem with backhauls (Q880535) (← links)
• A neural-tabu search heuristic for the real time vehicle routing problem (Q928694) (← links)
• Flexible working arrangements in context: an empirical investigation through self-organizing maps (Q1041025) (← links)
• A review of Hopfield neural networks for solving mathematical programming problems (Q1042039) (← links)
• A review of combinatorial problems arising in feedforward neural network design (Q1331904) (← links)
• A comparison of discrete and continuous neural network approaches to solve the class/teacher timetabling problem. (Q1417487) (← links)
• Managing spatio-temporal complexity in Hopfield neural network simulations for large-scale static optimization. (Q1427733) (← links)
• Neural networks in business: Techniques and applications for the operations researcher (Q1579010) (← links)
• A neural network approach to multiobjective and multilevel programming problems (Q1767920) (← links)
• Machine learning for combinatorial optimization: a methodological tour d'horizon (Q2029358) (← links)
• Data-driven algorithm selection and tuning in optimization and signal processing (Q2043447) (← links)
• The voice of optimization (Q2051238) (← links)
• Discrete dynamical system approaches for Boolean polynomial optimization (Q2161551) (← links)
• Codimension-2 parameter space structure of continuous-time recurrent neural networks (Q2165380) (← links)
• Predicting solutions of large-scale optimization problems via machine learning: a case study in blood supply chain management (Q2177838) (← links)
• Increasing the attraction area of the global minimum in the binary optimization problem (Q2392132) (← links)
• Heuristics and augmented neural networks for task scheduling with non-identical machines (Q2432852) (← links)
• The impact of energy function structure on solving generalized assignment problem using Hopfield neural network (Q2569058) (← links)
• A hybrid method for solving stochastic job shop scheduling problems (Q2572011) (← links)
• Simulation of varying parameter recurrent neural network with application to matrix inversion (Q2661430) (← links)
• CNN‐based ultrafast solver of stiff ODEs and PDEs for enabling realtime Computational Engineering (Q2970490) (← links)
• Self-organizing maps in evolutionary approach for the traveling salesman problem and vehicle routing problem with time windows (Q2997961) (← links)
• Optimization based on quasi-Monte Carlo sampling to design state estimators for non-linear systems (Q3066914) (← links)
• Equilibria of Iterative Softmax and Critical Temperatures for Intermittent Search in Self-Organizing Neural Networks (Q3440428) (← links)
• The Shape of a Local Minimum and the Probability of its Detection in Random Search (Q3564527) (← links)
• A primer on the application of neural networks to covering array generation (Q5043857) (← links)
• Predicting Tactical Solutions to Operational Planning Problems Under Imperfect Information (Q5084648) (← links)
• Learning-Based Branch-and-Price Algorithms for the Vehicle Routing Problem with Time Windows and Two-Dimensional Loading Constraints (Q5087714) (← links)
• (Q5147346) (← links)
• (Q5150575) (← links)
• Set-to-Sequence Methods in Machine Learning: A Review (Q5154747) (← links)
• Noise removal using hysteretic Hopfield tunnelling network in message transmission systems (Q5391516) (← links)
• Transport clustering and routing as a visual meshing process (Q5455292) (← links)
• Dynamical Analysis of Continuous Higher-Order Hopfield Networks for Combinatorial Optimization (Q5696507) (← links)
• ReLU neural networks of polynomial size for exact maximum flow computation (Q6086001) (← links)
• Learning optimal solutions via an LSTM-optimization framework (Q6168346) (← links)
• Optimizing hyperparameters in Hopfield neural networks using evolutionary search (Q6613962) (← links)