In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for manyobjective problems. We use a particle swarm optimization (PSO) a...
—This paper presents a new methodology based on evolutionary multi-objective optimization (EMO) to synthesize multiple complex modules on programmable devices (FPGAs). It starts ...
Clock networks contribute a significant fraction of dynamic power and can be a limiting factor in high-performance CPUs and SoCs. The need for multi-objective optimization over a l...
ECU (Electric Circuit Unit) is a type of embedded system that is used in automobiles to perform different functions. The synthesis process of ECU requires that the hardware should...
Umair F. Siddiqi, Yoichi Shiraishi, Mona Abo El Da...
Indicator-based algorithms have become a very popular approach to solve multi-objective optimization problems. In this paper, we contribute to the theoretical understanding of alg...