Resumo

REYES FERNANDEZ DE BULNES, Darian  e  MALDONADO, Yazmin. Comparison of Multi-objective Evolutionary Algorithms for High Level Synthesis in FPGA Devices. Comp. y Sist. [online]. 2018, vol.22, n.2, pp.425-437.  Epub 21-Jan-2021. ISSN 2007-9737.  https://doi.org/10.13053/cys-22-2-2946.

Operations scheduling is a fundamental problem of mapping a design into an electronic device, such as a Field Programmable Gate Array (FPGA). In this paper, a proposal for apply the multi-objective evolutionary algorithms, such as, NSGA-II, SPEA2 and NSGA-III for the simultaneous optimization of area, delay and power in the in high-level synthesis stage in the FPGAs is presented. Results obtained are compared using the quality indicators, Epsilon, Hypervolume and R, these results shown which of the algorithms are the most suitable for this problem to solve. Then, the results of the evolutionary processes are analyzed and improvements are proposed.

Palavras-chave : DFG; FPGA; NSGA-II; NSGA-III; SPEA2; circuit optimization.