[Home ] [Archive]    
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Registration ::
:: Volume 10, Issue 2 (9-2019) ::
IJOR 2019, 10(2): 49-61 Back to browse issues page
A New Algorithm for Constructing the Pareto Front of Bi-objective Optimization Problems
Mehrdad Ghaznavi Dr. , Mahboobe Abkhizi Mrs.
Shahrood University of Technology , ghaznavi@shahroodut.ac.ir
Abstract:   (275 Views)
Here, scalarization techniques for multi-objective optimization problems are addressed. A new scalarization approach, called unified Pascoletti-Serafini approach, is utilized and a new algorithm to construct the Pareto front of a given bi-objective optimization problem is formulated. It is shown that we can restrict the parameters of the scalarized problem. The computed efficient points provide a nearly equidistant approximation of the whole Pareto front. The performance of the proposed algorithm is illustrated by various test problems and its effectiveness with respect to some existing methods is shown.
Keywords: Bi-objective optimization, Pareto front, Scalarization, Unified Pascoletti-Serafini method, Proper efficiency.
Full-Text [PDF 750 kb]   (170 Downloads)    
Type of Study: Original | Subject: Mathematical Modeling and Applications of OR
Received: 2019/07/10 | Accepted: 2019/10/1 | Published: 2019/12/16
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML     Print



Volume 10, Issue 2 (9-2019) Back to browse issues page
مجله انجمن ایرانی تحقیق در عملیات Iranian Journal of Operations Research
Persian site map - English site map - Created in 0.04 seconds with 30 queries by YEKTAWEB 4241