6, 2020 /PRNewswire/ - AnyLogic North America announced a new partnership with H2O.ai. International Journal of Mining, Reclamation and Environment 22(1):70-83.OAKBROOK TERRACE, Ill., Aug. "Discrete-Event Simulation of Mine Equipment Systems Combined with a Reliability Assessment Model based on Genetic Algorithms". Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc. In Proceedings of the 2018 Winter Simulation Conference, edited by M.
"Salabim: Open Source Discrete Event Simulation and Animation in Python". In Proceedings of the 2012 Winter Simulation Conference, edited by C.
#Anylogic ai web demo software
"How Discrete-Event Simulation Software Works and Why it Matters". In Proceedings of the 2019 International Conference on Computer Communication and Networks, edited by J.
#Anylogic ai web demo simulator
"Enhancing the NS-3 Simulator by introducing Electric Vehicles Features". Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-Learn, and TensorFlow 2. Simulation Modelling Practice and Theory 103:102089. "Speeding Up Computational Times in Simheuristics Combining Genetic Algorithms with Discrete-Event Simulation". International Journal of Information Management 57:102133. "Multi-Agent Optimization of the Intermodal Terminal main Parameters by using AnyLogic Simulation Platform: Case Study on the Ningbo-Zhoushan Port". In Proceedings of the 2010 International Conference on Computer Modelling and Simulation, edited by D. "Vehicle Schedule Simulation with AnyLogic". In Proceedings of the 2020 Winter Simulation Conference, edited by K.-H. "Simulus: Easy Breezy Simulation in Python". Simulation Modelling Practice and Theory 89:1-14. "A Simheuristic Approach for the Two-Dimensional Vehicle Routing Problem with Stochastic Travel Times". "Discrete-Event Simulation Software Selection for Manufacturing based on the Maturity Model". DES View on Simulation Modelling: SIMUL8, 199-214. In Proceedings of the 2016 Winter Simulation Conference, edited by T. "Discrete Simulation Software Ranking - A Top List of the Worldwide most Popular and Used Tools". In Proceedings of the 2017 Winter Simulation Conference, edited by W. "Simheuristic of Patient Scheduling using a Table-Experiment Approach: Simio and Matlab Integration Application". Simulation Modelling Practice and Theory 71:45-60. "Intelligent Simulation: Integration of SIMIO and MATLAB to deploy Decision Support Systems to Simulation Environment". "A Review of Open Source Discrete Event Simulation Software for Operations Research". SORT-Statistics and Operations Research Transactions 44:311-334. "Why Simheuristics? Benefits, Limitations, and Best Practices when Combining Metaheuristics with Simulation". In Proceedings of the 2013 Winter Simulation Conference, edited by R. Multiple demo examples are discussed to provide insights and making this connection based on commercial and non-commercial DES packages. This study aims to provide a step-wise tutorial for helping simulation users to create intelligent DES models by integrating them with Python.
This integration makes the simulation modeling more intelligent and extends its applicability to a broader range of problems. Therefore, coupling these DES platforms with external programming languages like Python offers additional mathematical operations and algorithmic flexibility. Although these tools are capable of modeling real-life systems with a high accuracy, they generally fail to conduct advanced analytical analysis (i.e., machine learning, interactive visualizations) or complicated optimization (i.e., simheuristics). Therefore, there are a variety of commercial (Simio, AnyLogic, Simul8, Arena, etc.) and non-commercial (SimPy, Salabim, etc.) software packages that enable users to take advantage of DES modeling. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems. Simulation is an excellent tool to study real-life systems with uncertainty.
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