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Some Penalty-based Constraint Handling Techniques with Ant Lion Optimizer for Solving Constrained Optimization Problems

by Islam S. Fathi, Rasha M. Abo-Bakr, R. M. Farouk
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 30
Year of Publication: 2018
Authors: Islam S. Fathi, Rasha M. Abo-Bakr, R. M. Farouk
10.5120/ijca2018917412

Islam S. Fathi, Rasha M. Abo-Bakr, R. M. Farouk . Some Penalty-based Constraint Handling Techniques with Ant Lion Optimizer for Solving Constrained Optimization Problems. International Journal of Computer Applications. 181, 30 ( Nov 2018), 24-36. DOI=10.5120/ijca2018917412

@article{ 10.5120/ijca2018917412,
author = { Islam S. Fathi, Rasha M. Abo-Bakr, R. M. Farouk },
title = { Some Penalty-based Constraint Handling Techniques with Ant Lion Optimizer for Solving Constrained Optimization Problems },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2018 },
volume = { 181 },
number = { 30 },
month = { Nov },
year = { 2018 },
issn = { 0975-8887 },
pages = { 24-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number30/30173-2018917412/ },
doi = { 10.5120/ijca2018917412 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:07:45.327323+05:30
%A Islam S. Fathi
%A Rasha M. Abo-Bakr
%A R. M. Farouk
%T Some Penalty-based Constraint Handling Techniques with Ant Lion Optimizer for Solving Constrained Optimization Problems
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 30
%P 24-36
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In order to solve constraint optimization problems, constraints should be handled. The most common technique is penalty functions. Ant lion optimizer (ALO) is one of meta-heuristic algorithms which used to solve optimization problems. In this paper, the performance of ALO using different penalty-based methods (static penalty, dynamic penalty, and adaptive penalty) is compared and we make sensitivity analysis of tuning important parameters of penalty methods to show their effects on the performance of the penalty methods; six real engineering problems are used as a benchmark in this paper.

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Index Terms

Computer Science
Information Sciences

Keywords

Constrained optimization problems ant lion optimizer penalty functions constraint handling.

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