Work

Snow Flake Optimization Algorithm

Year: 2018

Type: conference-paper

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.

Source: Signal Processing and Communications Applications Conference (SIU)

DOI: 10.1109/siu.2018.8404304

Authors: Özgün Akkoyun, Metin Toz

Institution: Düzce Üniversitesi

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2850856897

FWCI:

Cites: 10

Cited by: 1

Related to: 10