…
comment: The repository administrator has not yet configured an RDF license.
primary topic: Different Approaches of Evolutionary Algorithms to Multiple Objective RCPSP

Different Approaches of Evolutionary Algorithms to Multiple Objective RCPSP
type: AcademicArticle
type: Article
abstract: 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.
date: 2022
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ConferenceItemEPrint
is part of: repository

Association for Computing Machinery
type: Organization

ACM International Conference Proceeding Series
type: Collection

I.A. Aziz
type: Person
given name: I.A.
family name: Aziz

G.T. Tong
type: Person
given name: G.T.
family name: Tong

J.B. Jaafar
type: Person
given name: J.B.
family name: Jaafar

S.T. Ngo
type: Person
given name: S.T.
family name: Ngo

G.H. Nguyen
type: Person
given name: G.H.
family name: Nguyen

A.N. Bui
type: Person
given name: A.N.
family name: Bui

HTML Summary of #16732 Different Approaches of Evolutionary Algorithms to Multiple Objective RCPSP
format: text/html
primary topic: Different Approaches of Evolutionary Algorithms to Multiple Objective RCPSP