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AIDA-CMK: Multi-Algorithm Optimization Kernel Applied to Analog IC Sizing

Language EnglishEnglish
Book Paperback
Book AIDA-CMK: Multi-Algorithm Optimization Kernel Applied to Analog IC Sizing Nuno Lourenço
Libristo code: 09197966
Publishers Springer International Publishing AG, February 2015
This work addresses the research and development of an innovative optimization kernel applied to ana... Full description
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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 Telecomunicaçőes, 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 with real analog IC design problems. The achieved results were compared in terms of performance, using statistical results obtained from multiple independent runs. Finally, some hybrid approaches were also experimented, giving a foretaste to a wide range of opportunities to explore in future work.

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About the book

Full name AIDA-CMK: Multi-Algorithm Optimization Kernel Applied to Analog IC Sizing
Language English
Binding Book - Paperback
Date of issue 2015
Number of pages 64
EAN 9783319159546
ISBN 3319159542
Libristo code 09197966
Weight 1299
Dimensions 155 x 235 x 4
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