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Simulation Modelling Practice and Theory, Volume 89
Volume 89, December 2018
- Daniel Guimarans
, Oscar L. Domínguez Rivero, Javier Panadero
, Angel A. Juan
:
A simheuristic approach for the two-dimensional vehicle routing problem with stochastic travel times. 1-14 - Gennaro Cordasco
, Vittorio Scarano
, Carmine Spagnuolo
:
Distributed MASON: A scalable distributed multi-agent simulation environment. 15-34 - Matthieu Mastio, Mahdi Zargayouna
, Gérard Scémama, Omer F. Rana
:
Two distribution methods for multiagent traffic simulations. 35-47 - Enayat A. Moallemi
, Sondoss El Sawah
, Michael J. Ryan:
An agent-monitored framework for the output-oriented design of experiments in exploratory modelling. 48-63 - Xingyu Yan
, Dhaker Abbes
, Bruno Francois
:
Development of a tool for urban microgrid optimal energy planning and management. 64-81 - Giuseppe Cantisani
, Giulia Del Serrone
, Giorgia Di Biagio:
Calibration and validation of and results from a micro-simulation model to explore drivers' actual use of acceleration lanes. 82-99 - Devdutt Singh
:
Passenger body vibration control in active quarter car model using ANFIS based super twisting sliding mode controller. 100-118 - Morteza Paricheh, Morteza Osanloo:
A simulation-based risk management approach to locating facilities in open-pit mines under price and grade uncertainties. 119-134 - Georgios L. Stavrinides
, Helen D. Karatza:
The impact of workload variability on the energy efficiency of large-scale heterogeneous distributed systems. 135-143 - Sotirios Gyftopoulos
, Pavlos S. Efraimidis, Panagiotis Katsaros:
Formal analysis of DeGroot Influence Problems using probabilistic model checking. 144-159 - Georges Sfeir
, Constantinos Antoniou
, Nivine Abbas:
Simulation-based evacuation planning using state-of-the-art sensitivity analysis techniques. 160-174 - Farzad Haghighi Rad, Seyed Mojtaba Rowzan:
Designing a hybrid system dynamic model for analyzing the impact of strategic alignment on project portfolio selection. 175-194 - Martin Andersson, Amos H. C. Ng:
Parameter tuning evolutionary algorithms for runtime versus cost trade-off in a cloud computing environment. 195-205
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