EAN: 9783319159546

SPRINGERBRIEFS IN COMPUTATIONAL INTELLIGENCE ...

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 Telecomunicações  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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