Evolutionary Multiobjective Design targeting a Field Programmable Transistor Array

Abstract

This paper introduces the ISPAES algorithm for circuit design targeting a Field 
Programmable Transistor Array (FPTA). The use of evolutionary algorithms is 
common in circuit design problems, where a single fitness function drives the 
evolution process. Frequently, the design problem is subject to several goals 
or operating constraints, thus, designing a suitable fitness function catching all 
requirements becomes an issue. Such a problem is amenable for multi-objective 
optimization, however, evolutionary algorithms lack an inherent mechanism for 
constraint handling. This paper introduces ISPAES, an evolutionary optimization 
algorithm enhanced with a constraint handling technique. Several design problems 
targeting a FPTA show the potential of our approach.