RiverOpt: A Multiobjective Optimization Framework based on Modified River Formation Dynamics Heuristic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F19%3A39915421" target="_blank" >RIV/00216275:25530/19:39915421 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/VLSID.2019.00059" target="_blank" >http://dx.doi.org/10.1109/VLSID.2019.00059</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/VLSID.2019.00059" target="_blank" >10.1109/VLSID.2019.00059</a>

Jazyk výsledku

angličtina

Název v původním jazyce

RiverOpt: A Multiobjective Optimization Framework based on Modified River Formation Dynamics Heuristic

Popis výsledku v původním jazyce

In river formation dynamics (RFD) method, water drops pursue a probable path to flow from high altitudes to flat surface. This geographical metaphor adopts a decreasing gradient principle supported by sedimentation and erosion mechanisms to reach for a feasible solution. In this paper, a new multi-objective optimization framework, RiverOpt is presented based on a modified RFD method. In this method, the probability of selecting the next path in RFD method is modified to exploit both transverse and longitudinal slopes. Further, the sedimentation parameter in RFD method is improved by introducing a sediment coefficient. Later, an external archive is integrated with RiverOpt framework to keep track of nondominated solutions in each generation. For benchmarking the performance of the proposed framework, a set of standard multiobjective test problems is employed. The results are compared with peer multiobjective optimization algorithms using two performance indicators (i.e., generational distance and hypervolume). Experimental results show that the proposed RiverOpt framework demonstrates competitive results in terms of convergence and diversity of Pareto optimal solutions. Finally, a case study of low noise amplifier circuit is analyzed to showcase effectiveness of the proposed framework.

Název v anglickém jazyce

RiverOpt: A Multiobjective Optimization Framework based on Modified River Formation Dynamics Heuristic

Popis výsledku anglicky

In river formation dynamics (RFD) method, water drops pursue a probable path to flow from high altitudes to flat surface. This geographical metaphor adopts a decreasing gradient principle supported by sedimentation and erosion mechanisms to reach for a feasible solution. In this paper, a new multi-objective optimization framework, RiverOpt is presented based on a modified RFD method. In this method, the probability of selecting the next path in RFD method is modified to exploit both transverse and longitudinal slopes. Further, the sedimentation parameter in RFD method is improved by introducing a sediment coefficient. Later, an external archive is integrated with RiverOpt framework to keep track of nondominated solutions in each generation. For benchmarking the performance of the proposed framework, a set of standard multiobjective test problems is employed. The results are compared with peer multiobjective optimization algorithms using two performance indicators (i.e., generational distance and hypervolume). Experimental results show that the proposed RiverOpt framework demonstrates competitive results in terms of convergence and diversity of Pareto optimal solutions. Finally, a case study of low noise amplifier circuit is analyzed to showcase effectiveness of the proposed framework.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

32nd International Conference on VLSI Design and 18th International Conference on Embedded Systems (VLSID)

ISBN

978-1-72810-409-6

ISSN

1063-9667

e-ISSN

—

Počet stran výsledku

6

Strana od-do

233-238

Název nakladatele

IEEE (Institute of Electrical and Electronics Engineers)

Místo vydání

New York

Místo konání akce

New Delhi

Datum konání akce

5. 1. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000470061200041