Fuzzy Logic Based Parameter Adaptation of  Interior Search Algorithm

Dr.Prabha Shreeraj Nair

Title:
Fuzzy Logic Based Parameter Adaptation of Interior Search Algorithm

Authors:
Dr.Prabha Shreeraj Nair
DOI:
https://doi.org/10.31142/ijtsrd2378

Cite This Article :

Dr.Prabha Shreeraj Nair "Fuzzy Logic Based Parameter Adaptation of Interior Search Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5, August 2017, pp.1281-1288, URL: https://www.ijtsrd.com/papers/ijtsrd2378.pdf

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Abstract :
Interior Search Algorithm (IS A) is a novel algorithm recently developed for solving optimization problems. Though, this metaheuristic has proven to be effective for function optimization on widely used benchmark functions, this algorithm may converge slowly or be trapped in local minima for complex functions. In this paper, a new hybrid approach of IS A is presented. The proposed approach includes a fuzzy logic system for improving convergence of the solutions in IS A by dynamic parameter adaptation. To validate the performance of the proposed algorithm, several comparisons are presented on the basis of benchmark functions. Simulation results demonstrated the efficiency of the proposed fuzzy IS A algorithm.

Keywords :
interior search algorithm; fuzzy logic; parameter adaptation; benchmark functions

Publication Details:

Unique Identification Number : IJTSRD2378

Published In : Volume-1 | Issue-5, August 2017

Page Number(s) : 1281-1288

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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