A multi-objective model for a nurse scheduling problem by emphasizing human factors

M Hamid, R Tavakkoli-Moghaddam… - Proceedings of the …, 2020 - journals.sagepub.com
Assigning nurses to appropriate departments and work shifts based on human factors can
strengthen teamwork and boost the efficiency of healthcare systems. The human factors …

Potential of harnessing operational flexibility from public transport hubs to improve reliability and economic performance of urban multi-energy systems: A holistic …

B Zeng, Y Luo - Applied Energy, 2022 - Elsevier
Growing penetration of renewable energy sources (RES) and emerging electrified loads
(EEL) are bringing about increased difficulties for the power balancing and efficient …

Hierarchical structure modelling in uncertain emergency location-routing problem using combined genetic algorithm and simulated annealing

B Nahavandi, M Homayounfar… - International …, 2022 - inderscienceonline.com
Emergency Location Routing Problem (ELRP) is a strategic issue in healthcare systems. In
this paper, a two-objective mathematical model is presented for the ELRP. The first objective …

Modern optimization and simulation methods in managerial and business economics: a review

L Calvet, R de la Torre, A Goyal, M Marmol… - Administrative …, 2020 - mdpi.com
Managerial and Business Economics (ME/BE) aims at using quantitative and computational
methods to make an efficient (ideally optimal) assignment of the scarce resources owned by …

Moth optimisation algorithm with local search for the permutation flow shop scheduling problem

A Abuhamdah, M Alzaqebah… - International …, 2021 - inderscienceonline.com
This work investigates the use of the Moth-Flame Optimisation (MFO) algorithm in solving
the Permutation Flow Shop Scheduling Problem and proposes further optimisations. MFO is …

A survey for recent applications and variants of nature-inspired immune search algorithm

F Alkhateeb, RM Al-Khatib… - International Journal of …, 2020 - inderscienceonline.com
Artificial Immune Systems (AIS) is a well-known nature inspired and population based
algorithm that proved its effectiveness for solving engineering and practical real-world …

[PDF][PDF] Customer churn prediction using artificial neural network: An analytical CRM application

SH Iranmanesh, M Hamid, M Bastan… - Proceedings of the …, 2019 - ieomsociety.org
Customer need is the most important factor in the formation of each market and business. It
engages companies in order to meet their need by developing new products and services …

Designing Airline Hub‐and‐Spoke Network and Fleet Size by a Biobjective Model Based on Passenger Preferences and Value of Time

M Nasrollahi, A Abdi Kordani - Journal of Advanced …, 2023 - Wiley Online Library
This study presents a biobjective hub‐and‐spoke (HS) network design model for the global
air passenger networks. The model explores the tradeoff between the total airline cost …

A machine-learning based hybrid algorithm for strategic location of urban bundling hubs to support shared public transport

J El Ouadi, H Errousso, N Malhene, S Benhadou… - Quality & Quantity, 2021 - Springer
The location problem of Bundling Hubs (BHs) remains a contentious issue for efficient
shared transportation systems. In this respect, the strategic configuration of BHs plays a …

Modified Hybrid Moth Optimization Algorithm for PFSS Problem

A Abuhamdah - SN Computer Science, 2023 - Springer
Generally, local search algorithms are better than population-based algorithms in exploiting
the search space. Meanwhile, the population-based algorithms are better in exploring the …