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  2. Simulation-based optimization - Wikipedia

    en.wikipedia.org/wiki/Simulation-based_optimization

    This process is called simulation optimization. [2] Specific simulation–based optimization methods can be chosen according to Figure 1 based on the decision variable types. [3] Fig.1 Classification of simulation based optimization according to variable types. Optimization exists in two main branches of operations research:

  3. Multi-use simulation models - Wikipedia

    en.wikipedia.org/wiki/Multi-Use_Simulation_Models

    The concept of multi-use simulation models relates to the notion of pre-designed templates that are developed for use in simulation projects that simulate repetitive activities. These models can be perceived as “Building Blocks” which are designed for a specific purpose. [ 1 ]

  4. Modeling and simulation - Wikipedia

    en.wikipedia.org/wiki/Modeling_and_simulation

    Modeling and simulation are important in research. Representing the real systems either via physical reproductions at smaller scale, or via mathematical models that allow representing the dynamics of the system via simulation, allows exploring system behavior in an articulated way which is often either not possible, or too risky in the real world.

  5. Simulation - Wikipedia

    en.wikipedia.org/wiki/Simulation

    A virtual simulation is a category of simulation that uses simulation equipment to create a simulated world for the user. Virtual simulations allow users to interact with a virtual world . Virtual worlds operate on platforms of integrated software and hardware components.

  6. Computer simulation - Wikipedia

    en.wikipedia.org/wiki/Computer_simulation

    A 48-hour computer simulation of Typhoon Mawar using the Weather Research and Forecasting model Process of building a computer model, and the interplay between experiment, simulation, and theory Computer simulation is the running of a mathematical model on a computer , the model being designed to represent the behaviour of, or the outcome of, a ...

  7. Simulation in manufacturing systems - Wikipedia

    en.wikipedia.org/wiki/Simulation_in...

    As continuous simulation cannot be modeled by digital computers, it is done by taking small discrete steps. This is a useful feature, since there are many cases where both, continuous and discrete simulation, have to be combined. This is called hybrid simulation, [8] which is needed in many industries, for example, the food industry. [3]

  8. Mathematical optimization - Wikipedia

    en.wikipedia.org/wiki/Mathematical_optimization

    Another field that uses optimization techniques extensively is operations research. [32] Operations research also uses stochastic modeling and simulation to support improved decision-making. Increasingly, operations research uses stochastic programming to model dynamic decisions that adapt to events; such problems can be solved with large-scale ...

  9. Category:Operations research - Wikipedia

    en.wikipedia.org/wiki/Category:Operations_research

    Operations research, operational research, or simply O.R., is the use of mathematical models, statistics and algorithms to aid in decision-making. It is most often used to analyze complex real-world systems, typically with the goal of improving or optimizing performance. It is one form of applied mathematics

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