Evaluation of Vector Evaluated Particle Swarm Optimisation Enhanced with Non-dominated Solutions and Multiple Nondominated Leaders based on WFG Test Functions

Evaluation of Vector Evaluated Particle Swarm Optimisation Enhanced with Non-dominated Solutions and Multiple Nondominated Leaders based on WFG Test Functions

Multi Objective Optimisation (MOO) problem involves simultaneous minimization or maximization of many objective functions. One of MOO algorithms is Vector Evaluated Particle Swarm Optimization (VEPSO) algorithm. In VEPSO, each objective function is optimised by a swarm of particles under guidance of...

Full description

Bibliographic Details
Main Authors: Zuwairie, Ibrahim, Mohd Zaidi, Mohd Tumari, Mohd Falfazli, Mat Jusof, Kian, Sheng Lim
Format: Conference or Workshop Item
Language:English
English
Published: 2014
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/10355/
http://umpir.ump.edu.my/id/eprint/10355/
http://umpir.ump.edu.my/id/eprint/10355/1/Evaluation%20of%20Vector%20Evaluated%20Particle%20Swarm%20Optimisation%20Enhanced%20with%20Non-dominated%20Solutions%20and%20Multiple%20Nondominated%20Leaders%20based%20on%20WFG%20Test%20Functions.pdf
http://umpir.ump.edu.my/id/eprint/10355/7/Evaluation%20of%20Vector%20Evaluated%20Particle%20Swarm%20Optimisation%20Enhanced%20with%20Non-dominated%20Solutions%20and%20Multiple%20Nondominated%20Leaders%20based%20on%20WFG%20Test%20Functions.pdf
id ump-10355
recordtype eprints
spelling ump-103552018-02-21T05:47:08Z http://umpir.ump.edu.my/id/eprint/10355/ Evaluation of Vector Evaluated Particle Swarm Optimisation Enhanced with Non-dominated Solutions and Multiple Nondominated Leaders based on WFG Test Functions Zuwairie, Ibrahim Mohd Zaidi, Mohd Tumari Mohd Falfazli, Mat Jusof Kian, Sheng Lim TK Electrical engineering. Electronics Nuclear engineering Multi Objective Optimisation (MOO) problem involves simultaneous minimization or maximization of many objective functions. One of MOO algorithms is Vector Evaluated Particle Swarm Optimization (VEPSO) algorithm. In VEPSO, each objective function is optimised by a swarm of particles under guidance of the best solution, known as leader, from another swarm. Recently, an improved VEPSO algorithm, namely VEPSO incorporated non-dominated solution (VEPSOnds), has been introduced by the use of non-dominated solution as leader. Then, the VEPSOnds algorithm is further modified with multi leaders, namely VEPSO with multi leaders (VEPSOml). The improved VEPSO algorithms have been subjected to a series of numerical experiments based on ZDT benchmark datasets. In this study, a more complex benchmark datasets called WFG, is considered for the evaluation of VEPSO, VEPSOnds, and VEPSOml algorithms. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/10355/1/Evaluation%20of%20Vector%20Evaluated%20Particle%20Swarm%20Optimisation%20Enhanced%20with%20Non-dominated%20Solutions%20and%20Multiple%20Nondominated%20Leaders%20based%20on%20WFG%20Test%20Functions.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/10355/7/Evaluation%20of%20Vector%20Evaluated%20Particle%20Swarm%20Optimisation%20Enhanced%20with%20Non-dominated%20Solutions%20and%20Multiple%20Nondominated%20Leaders%20based%20on%20WFG%20Test%20Functions.pdf Zuwairie, Ibrahim and Mohd Zaidi, Mohd Tumari and Mohd Falfazli, Mat Jusof and Kian, Sheng Lim (2014) Evaluation of Vector Evaluated Particle Swarm Optimisation Enhanced with Non-dominated Solutions and Multiple Nondominated Leaders based on WFG Test Functions. In: 2nd International Symposium on Computational and Business Intelligence (ISCBI), 7-8 December 2014 , New Delhi. pp. 35-38.. (Unpublished) http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7119529
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Zuwairie, Ibrahim
Mohd Zaidi, Mohd Tumari
Mohd Falfazli, Mat Jusof
Kian, Sheng Lim
Evaluation of Vector Evaluated Particle Swarm Optimisation Enhanced with Non-dominated Solutions and Multiple Nondominated Leaders based on WFG Test Functions
description Multi Objective Optimisation (MOO) problem involves simultaneous minimization or maximization of many objective functions. One of MOO algorithms is Vector Evaluated Particle Swarm Optimization (VEPSO) algorithm. In VEPSO, each objective function is optimised by a swarm of particles under guidance of the best solution, known as leader, from another swarm. Recently, an improved VEPSO algorithm, namely VEPSO incorporated non-dominated solution (VEPSOnds), has been introduced by the use of non-dominated solution as leader. Then, the VEPSOnds algorithm is further modified with multi leaders, namely VEPSO with multi leaders (VEPSOml). The improved VEPSO algorithms have been subjected to a series of numerical experiments based on ZDT benchmark datasets. In this study, a more complex benchmark datasets called WFG, is considered for the evaluation of VEPSO, VEPSOnds, and VEPSOml algorithms.
format Conference or Workshop Item
author Zuwairie, Ibrahim
Mohd Zaidi, Mohd Tumari
Mohd Falfazli, Mat Jusof
Kian, Sheng Lim
author_facet Zuwairie, Ibrahim
Mohd Zaidi, Mohd Tumari
Mohd Falfazli, Mat Jusof
Kian, Sheng Lim
author_sort Zuwairie, Ibrahim
title Evaluation of Vector Evaluated Particle Swarm Optimisation Enhanced with Non-dominated Solutions and Multiple Nondominated Leaders based on WFG Test Functions
title_short Evaluation of Vector Evaluated Particle Swarm Optimisation Enhanced with Non-dominated Solutions and Multiple Nondominated Leaders based on WFG Test Functions
title_full Evaluation of Vector Evaluated Particle Swarm Optimisation Enhanced with Non-dominated Solutions and Multiple Nondominated Leaders based on WFG Test Functions
title_fullStr Evaluation of Vector Evaluated Particle Swarm Optimisation Enhanced with Non-dominated Solutions and Multiple Nondominated Leaders based on WFG Test Functions
title_full_unstemmed Evaluation of Vector Evaluated Particle Swarm Optimisation Enhanced with Non-dominated Solutions and Multiple Nondominated Leaders based on WFG Test Functions
title_sort evaluation of vector evaluated particle swarm optimisation enhanced with non-dominated solutions and multiple nondominated leaders based on wfg test functions
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/10355/
http://umpir.ump.edu.my/id/eprint/10355/
http://umpir.ump.edu.my/id/eprint/10355/1/Evaluation%20of%20Vector%20Evaluated%20Particle%20Swarm%20Optimisation%20Enhanced%20with%20Non-dominated%20Solutions%20and%20Multiple%20Nondominated%20Leaders%20based%20on%20WFG%20Test%20Functions.pdf
http://umpir.ump.edu.my/id/eprint/10355/7/Evaluation%20of%20Vector%20Evaluated%20Particle%20Swarm%20Optimisation%20Enhanced%20with%20Non-dominated%20Solutions%20and%20Multiple%20Nondominated%20Leaders%20based%20on%20WFG%20Test%20Functions.pdf
first_indexed 2023-09-18T22:09:53Z
last_indexed 2023-09-18T22:09:53Z
_version_ 1777414956106383360

Similar Items