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The Placement of Electronic Circuits Problem : A Neural Network Approach
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ettaouil, Mohamed Elmoutaouakil, K. Ghanou, Youssef |
| Copyright Year | 2011 |
| Abstract | The goal of this paper is to apply the Continuous Hopfield Networks (CHN) to the Placement of Electronic Circuit Problem (PECP). This assignment problem has been expressed as Quadratic Knapsack Problem (QKP). To solve the PECP via the CHN, we choose an energy function which ensures an appropriate balance between minimization of the cost function and simultaneous satisfaction of the PECP constraints. In addition, the parameters of this function must avoid some bad local minima. Finally, some computational experiments solving the PECP are included. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.mmnp-journal.org/articles/mmnp/pdf/2010/07/mmnp201057Sp109.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Artificial neural network Assignment problem Choose (action) Computation Electronic circuit Experiment Hopfield network Isaacs syndrome Knapsack problem Linear function Loss function Mathematical optimization Maxima and minima Metaheuristic Neural Network Simulation Problem-Based Learning Solutions |
| Content Type | Text |
| Resource Type | Article |
