The authors propose two kinds of neural network structures based on a penalty function method and an augmented Lagrangian multiplier method, and compare them by ...
In this paper we discuss ncurd network approach for general assignment problem. This problem is the generalization of the well known assignment problem and can ...
In this study, a deep neural network (DNN) model was developed to solve the job assignment problem in a constant time regardless of the state of the parameters.
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colab.ws › articles › ICNN.1995.488905
The calculational aspects of solving certain classes of location-allocation problems are presented. Both exact extremal equations and a heuristic method are ...
Jan 17, 2024 · Linear assignment problems are well-known combinatorial optimization problems involving domains such as logistics, robotics and ...
Mar 22, 2023 · Competition based neural networks have been used to solve the generalized assignment problem and the quadratic assignment problem.
Aug 12, 2019 · The concept of credit assignment refers to the problem of determining how much 'credit' or 'blame' a given neuron or synapse should get for a given outcome.
In this paper, we proposed a new approach for treating assignment problems using artificial neural network. We pre- sented the classical Hungarian algorithm ...
Sep 27, 2021 · An unsupervised training algorithm is proposed where the Sinkhorn neural network can be applied to network assign- ment problems. Numerical ...
Feb 4, 2021 · Alternatively, we propose a deep-learning approach employing Feed-Forward. Neural Network (FFNN) for the traffic assignment that respects ...