relation: https://khub.utp.edu.my/scholars/16732/
title: Different Approaches of Evolutionary Algorithms to Multiple Objective RCPSP
creator: Ngo, S.T.
creator: Jaafar, J.B.
creator: Aziz, I.A.
creator: Tong, G.T.
creator: Nguyen, G.H.
creator: Bui, A.N.
description: Task assignments to the project members play a vital role in the project planning process. The project's quality, development time, and cost are criteria to indicate a success or failure project. These are affected by every single arrangement generated by the optimizer. Unfortunately, the task assignment problem is a multi-objective optimization problem (MOP) and complex scheduling problem in software development projects (MOP-PSP) and other domains. There are several approaches to MOP introduced in the literature. Our study aims to evaluate different evolutionary algorithms (EAs), including the compromise programming-based and Pareto frontier-based for the MOP-PSP. To make this work, we calibrate the parameters for the genetic algorithm (GA) developed in the previous research and design a new version of the ant colony algorithm (ACO) to solve the compromised problem. They are then compared with the NGSA-2, a Multi objective EA. Experiments show that compromise programming is an effective method for the decision-making process in practice. © 2022 ACM.
publisher: Association for Computing Machinery
date: 2022
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Ngo, S.T. and Jaafar, J.B. and Aziz, I.A. and Tong, G.T. and Nguyen, G.H. and Bui, A.N.  (2022) Different Approaches of Evolutionary Algorithms to Multiple Objective RCPSP.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138368169&doi=10.1145%2f3545801.3545810&partnerID=40&md5=7278c8bbc529bf72d9d60d5f6d2b9c09
relation: 10.1145/3545801.3545810
identifier: 10.1145/3545801.3545810