Snow Flake Optimization Algorithm
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Date
2018
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Ieee
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
Optimization is the best result finding process under certain constraints for a given problem. In this study, a new population-based optimization algorithm, Snow Flake Optimization Algorithm (SFO), is proposed to model a snowflake falling on the ground. The mathematical formulation of the developed algorithm is given. In addition, 8 benchmark functions are solved with the proposed algorithm and the results are presented in tabular form. According to the results, SFO achieved successful results in solving all functions.
Description
26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEY
WOS: 000511448500157
WOS: 000511448500157
Keywords
optimization, snow flake optimization algorithm, SFO
Journal or Series
2018 26Th Signal Processing And Communications Applications Conference (Siu)
WoS Q Value
N/A
