Methods of applying artificial intelligence for multi-level optimisation of electrical circuit topologies
Keywords:
genetic algorithms, multilevel optimisation, local optimisation, topological electrical circuits, optimisation automation
Abstract
This article analyses the methods and systems of multilevel local optimisation of electrical circuit topologies, and considers the method of topology optimisation using a genetic algorithm based on the basic principles of optimisation methodology and the methodology of using a genetic algorithm for automation tasks
References
1. Hayes, John P. Computer Architecture and Organization. [Електронний ресурс]
2. Brayton, R.K., G.D. Hachtel and A.L. Sangiovanni-Vincentelli. Multilevel Logic Synthesis, [Електронний ресурс]
3. Ullman, Jeffrey D. Computational Aspects of VLSI,. [Електронний ресурс]
4. de Geus, Aart J. and William W. Cohen. A Rule-Based System for Optimizing Combinational Logic,, [Електронний ресурс]
5. Darringer, John A. LSS: A System for Production Logic Synthesis [Електронний ресурс] / Darringer, John A – 1984.
2. Brayton, R.K., G.D. Hachtel and A.L. Sangiovanni-Vincentelli. Multilevel Logic Synthesis, [Електронний ресурс]
3. Ullman, Jeffrey D. Computational Aspects of VLSI,. [Електронний ресурс]
4. de Geus, Aart J. and William W. Cohen. A Rule-Based System for Optimizing Combinational Logic,, [Електронний ресурс]
5. Darringer, John A. LSS: A System for Production Logic Synthesis [Електронний ресурс] / Darringer, John A – 1984.
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Published
2023-12-16
How to Cite
Hromko , O., & Boyarinova , Y. (2023). Methods of applying artificial intelligence for multi-level optimisation of electrical circuit topologies. COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (53), 104-110. https://doi.org/10.36910/6775-2524-0560-2023-53-16
Section
Computer science and computer engineering
