Work smarter, not harder: A tutorial on designing and conducting simulation experiments

SM Sanchez, PJ Sanchez… - 2020 Winter Simulation …, 2020 - ieeexplore.ieee.org
Simulation models are integral to modern scientific research, national defense, industry and
manufacturing, and in public policy debates. These models tend to be extremely complex …

Wild blueberry yield prediction using a combination of computer simulation and machine learning algorithms

EY Obsie, H Qu, F Drummond - Computers and Electronics in Agriculture, 2020 - Elsevier
The most challenging task in the agricultural sector is to accurately predict crop yield. A
typical machine learning algorithm often uses real data to predict crop yield. In this study, we …

An agent-based simulation system for concert venue crowd evacuation modeling in the presence of a fire disaster

N Wagner, V Agrawal - Expert Systems with Applications, 2014 - Elsevier
A key activity in emergency management is planning and preparation for disaster. If the right
safety measures are implemented beforehand, harmful effects can be significantly mitigated …

Work smarter, not harder: Guidelines for designing simulation experiments

SM Sanchez - … of the Winter Simulation Conference, 2005., 2005 - ieeexplore.ieee.org
We present the basic concepts of experimental design, the types of goals it can address, and
why it is such an important and useful tool for simulation. A well-designed experiment allows …

Better than a petaflop: The power of efficient experimental design

SM Sanchez, H Wan - Proceedings of the 2009 Winter …, 2009 - ieeexplore.ieee.org
Recent advances in high-performance computing have pushed computational capabilities to
a petaflop (a thousand trillion operations per second) in a single computing cluster. This …

Designs for large-scale simulation experiments, with applications to defense and homeland security

SM Sanchez, TW Lucas, PJ Sanchez… - Design and analysis …, 2012 - Wiley Online Library
Computer experimentation is integral to modern scientific research, national defense,
industry and manufacturing, and in public policy debates. Traditional design of experiments …

Verification & validation of agent based simulations using the VOMAS (virtual overlay multi-agent system) approach

MA Niazi, A Hussain, M Kolberg - arXiv preprint arXiv:1708.02361, 2017 - arxiv.org
Agent Based Models are very popular in a number of different areas. For example, they have
been used in a range of domains ranging from modeling of tumor growth, immune systems …

[图书][B] Cognitive agent-based computing-I: a unified framework for modeling complex adaptive systems using agent-based & complex network-based methods

MA Niazi, A Hussain - 2012 - books.google.com
Complex Systems are made up of numerous interacting sub-components. Non-linear
interactions of these components or agents give rise to emergent behavior observable at the …

Towards a novel unified framework for developing formal, network and validated agent-based simulation models of complex adaptive systems

MA Niazi - arXiv preprint arXiv:1708.02357, 2017 - arxiv.org
Literature on the modeling and simulation of complex adaptive systems (cas) has primarily
advanced vertically in different scientific domains with scientists developing a variety of …

Better big data via data farming experiments

SM Sanchez, PJ Sánchez - … and Simulation: Seminal Research from 50 …, 2017 - Springer
The term 'big data'has become intertwined with 'data mining'in the minds of many people.
Modern computing can generate massive amounts of data via simulation studies, but a key …