| 期刊全稱 | AIDA-CMK: Multi-Algorithm Optimization Kernel Applied to Analog IC Sizing | | 影響因子2023 | Ricardo Louren?o,Nuno Louren?o,Nuno Horta | | 視頻video | http://file.papertrans.cn/143/142858/142858.mp4 | | 發(fā)行地址 | Introduces the area of analog IC design automation.Gives emphasis to the automatic circuit sizing.Presents an overview of the state of the art in analog circuit optimization.Includes supplementary mat | | 學(xué)科分類 | SpringerBriefs in Applied Sciences and Technology | | 圖書封面 |  | | 影響因子 | This work addresses the research and development of an innovative optimization kernel applied to analog integrated circuit (IC) design. Particularly, this works describes the modifications inside the AIDA Framework, an electronic design automation framework fully developed by at the Integrated Circuits Group-LX of the Instituto de Telecomunica??es, Lisbon. It focusses on AIDA-CMK, by enhancing AIDA-C, which is the circuit optimizer component of AIDA, with a new multi-objective multi-constraint optimization module that constructs a base for multiple algorithm implementations. The proposed solution implements three approaches to multi-objective multi-constraint optimization, namely, an evolutionary approach with NSGAII, a swarm intelligence approach with MOPSO and stochastic hill climbing approach with MOSA. Moreover, the implemented structure allows the easy hybridization between kernels transforming the previous simple NSGAII optimization module into a more evolved and versatile module supporting multiple single and multi-kernel algorithms. The three multi-objective optimization approaches were validated with CEC2009 benchmarks to constrained multi-objective optimization and tested | | Pindex | Book 2015 |
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