TY  - CONF
SP  - 58
KW  - Ant colony optimization; Artificial intelligence; Combinatorial optimization; Decision making; Multiobjective optimization; Scheduling; Software design
KW  -  Compromise programming; Multi-objective optimization problem; Multiple-objectives; NGSA-2; Planning process; Project planning; Project quality; RCPSP; Scheduling; Tasks assignments
KW  -  Genetic algorithms
N1  - cited By 1; Conference of 7th International Conference on Big Data and Computing, ICBDC 2022 ; Conference Date: 27 May 2022 Through 29 May 2022; Conference Code:182616
Y1  - 2022///
EP  - 66
A1  - Ngo, S.T.
A1  - Jaafar, J.B.
A1  - Aziz, I.A.
A1  - Tong, G.T.
A1  - Nguyen, G.H.
A1  - Bui, A.N.
ID  - scholars16732
TI  - Different Approaches of Evolutionary Algorithms to Multiple Objective RCPSP
SN  - 9781450396097
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138368169&doi=10.1145%2f3545801.3545810&partnerID=40&md5=7278c8bbc529bf72d9d60d5f6d2b9c09
N2  - 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.
PB  - Association for Computing Machinery
ER  -