Multi-skilling in scheduling problems: A review on models, methods and applications

B Afshar-Nadjafi - Computers & Industrial Engineering, 2021 - Elsevier
Multi-skilling provides an organization with the ability to arrange its workers to meet the
certain needs for several skills. This paper reviews the literature on scheduling problems …

A self-adapting and efficient dandelion algorithm and its application to feature selection for credit card fraud detection

H Zhu, MC Zhou, Y Xie… - IEEE/CAA Journal of …, 2024 - ieeexplore.ieee.org
A dandelion algorithm (DA) is a recently developed intelligent optimization algorithm for
function optimization problems. Many of its parameters need to be set by experience in DA …

A community detection approach for the resource leveling problem in a multi-project scheduling environment

A Sayyadi, H Esmaeeli, AH Hosseinian - Computers & Industrial …, 2022 - Elsevier
This paper develops an integrated mathematical formulation that embraces the Resource
Leveling Problem (RLP) and the Multi-Project Scheduling Problem (MPSP). To incorporate …

Proposing new clustering-based algorithms for the multi-skilled resource-constrained multi-project scheduling problem with resource leveling adjustments

E Goudarzi, H Esmaeeli, K Parsa, S Asadzadeh - Kybernetes, 2023 - emerald.com
Purpose The target of this research is to develop a mathematical model which combines the
Resource-Constrained Multi-Project Scheduling Problem (RCMPSP) and the Multi-Skilled …

Community-based dandelion algorithm-enabled feature selection and broad learning system for traffic flow prediction

X Liu, X Qin, MC Zhou, H Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In an intelligent transportation system, accurate traffic flow prediction can provide significant
help for travel planning. Even though some methods are proposed to do so, they focus on …

P-GWO and MOFA: two new algorithms for the MSRCPSP with the deterioration effect and financial constraints (case study of a gas treating company)

AH Hosseinian, V Baradaran - Applied Intelligence, 2020 - Springer
This paper presents a bi-objective mathematical formulation for the multi-skill resource-
constrained project scheduling problem (MSRCPSP) with the deterioration effect and …

A two-phase approach for solving the multi-skill resource-constrained multi-project scheduling problem: a case study in construction industry

AH Hosseinian, V Baradaran - Engineering, Construction and …, 2023 - emerald.com
Purpose The purpose of this research is to study the Multi-Skill Resource-Constrained Multi-
Project Scheduling Problem (MSRCMPSP), where (1) durations of activities depend on the …

A multi-objective multi-agent optimization algorithm for the multi-skill resource-constrained project scheduling problem with transfer times

AH Hosseinian, V Baradaran - RAIRO-operations Research, 2021 - rairo-ro.org
This paper addresses the Multi-Skill Resource-Constrained Project Scheduling Problem
with Transfer Times (MSRCPSP-TT). A new model has been developed that incorporates …

An effective hybrid algorithm based on particle swarm optimization with migration method for solving the multiskill resource‐constrained project scheduling problem

H Dang Quoc, L Nguyen The… - … Intelligence and Soft …, 2022 - Wiley Online Library
The paper proposed a new algorithm to solve the Multiskill Resource‐Constrained Project
Scheduling Problem (MS‐RCPSP), a combinational optimization problem proved in NP …

Modified Pareto archived evolution strategy for the multi-skill project scheduling problem with generalized precedence relations

AH Hosseinian, V Bardaran - Journal of Industrial Engineering and …, 2020 - jiems.icms.ac.ir
In this research, we study the multi-skill resource-constrained project scheduling problem,
where there are generalized precedence relations between project activities. Workforces are …