Enhancing healthcare operations: a systematic literature review on approaches for hospital facility layout planning
VC Dos Santos, RM Siqueira… - Journal of Health …, 2024 - emerald.com
Purpose The appropriate physical layout of hospital services can help resolve management
problems by streamlining the work of medical teams, improving the flow of patients between …
problems by streamlining the work of medical teams, improving the flow of patients between …
[PDF][PDF] Solving the Travelling Salesman Problem Using an Ant Colony System Algorithm
The travelling salesman problem (TSP) is an important combinatorial optimization problem
that is used in several engineering science branches and has drawn interest to several …
that is used in several engineering science branches and has drawn interest to several …
Optimización de la distribución en planta con formulación QAP y simulación de eventos discretos
Y Anacona-Mopan, J Segura-Dorado… - Informador …, 2023 - revistas.sena.edu.co
Un diseño apropiado de las instalaciones de fabricación puede aumentar la eficiencia de
las operaciones internas de una empresa, mediante la optimización de los costes de …
las operaciones internas de una empresa, mediante la optimización de los costes de …
Appling the Roulette Wheel Selection Approach to Address the Issues of Premature Convergence and Stagnation in the Discrete Differential Evolution Algorithm
A Shakir Hameed, HMB Alrikabi… - … Intelligence and Soft …, 2023 - Wiley Online Library
The discrete differential evolution (DDE) algorithm is an evolutionary algorithm (EA) that has
effectively solved challenging optimization problems. However, like many other EAs, it still …
effectively solved challenging optimization problems. However, like many other EAs, it still …
Hospital Flow Simulation and Space Layout Planning Based on Low-trust Social Force Model
J Xu, Y Peng, C Ye, S Gao, M Cheng - IEEE Access, 2024 - ieeexplore.ieee.org
The spatial layout of hospitals shows constant intersection of streamlines with the patients in
different kinds of needs finding their path to various service facilities. Along with COVID …
different kinds of needs finding their path to various service facilities. Along with COVID …
[PDF][PDF] Experimental study of hybrid genetic algorithms for the maximum scatter travelling salesman problem
We consider the maximum scatter travelling salesman problem (MSTSP), a travelling
salesman problem (TSP) variant. The problem aims to maximize the shortest edge in the …
salesman problem (TSP) variant. The problem aims to maximize the shortest edge in the …
[PDF][PDF] Assessment of Assignment Problem using Hungarian Method
Assignment Problem corresponds with the product distribution between demand points and
supply points. Many algorithms were suggested to find the optimal result. The purpose of this …
supply points. Many algorithms were suggested to find the optimal result. The purpose of this …
Mutli-Label Classification Using Label Tuning Method in Scientific Workflows
P Shanthi, P Padmakumari, N Balaji… - … Conference on Big Data …, 2022 - Springer
Nowadays, massive data-intensive scientific applications are represented in the form of
workflows. Workflows are the set of dependent or independent tasks groups that together …
workflows. Workflows are the set of dependent or independent tasks groups that together …
A Comparative Analysis of Assignment Problem
The aim of a supply chain team is to formulate a network layout that minimizes the total cost.
In this research, the lowest production cost of the final product has been determined using a …
In this research, the lowest production cost of the final product has been determined using a …
Hybrid Differential Evolution and Tabu Search for Parameter Tuning in Software Defect
R Malhotra, A Tyagi - 2022 IEEE 7th International conference …, 2022 - ieeexplore.ieee.org
Software Defect Prediction (SDP) helps in identifying defective modules as early as possible
in the Software Development Life Cycle (SDLC). Machine learning (ML) methods are …
in the Software Development Life Cycle (SDLC). Machine learning (ML) methods are …