Advances in Analytics: Integrating Dynamic Data Mining with Simulation Optimization

Download our report to learn the powerful combination of dynamic data mining and simulation optimization.

Improve Your Analytical and Decision-Making Skills via use of this Best-In-Class Approach to Problem Solving

In industry, managers are constantly faced with situations requiring making decisions that can have important consequences for profitability, market share, customer satisfaction, and other key performance metrics. Given the significant complexity and uncertainty inherit to most such decisions, managers require an effective tool to test a variety of real-world decision-making scenarios. Computer simulation has evolved as the methodology of choice to meet this need.

In this paper, we propose an approach that incorporates an advanced data mining module to identify relevant system inputs and analyze the way these inputs interact within the system. This dynamic data mining procedure is activated during the optimization process in order to make use of information obtained therein, with the goal of speeding the search for optimal solutions. In addition, our recommended approach incorporates the state-of-the-art OptQuest optimization engine to guide the search for optimal polices or scenarios for a given system based on user-defined performance measures. We include an example of a start-up firm seeking venture capital financing to illustrate the use and power of this methodology.

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Tabu Search

Tabu Search, also called Adaptive Memory Programming, is a method for solving challenging optimization problems in the fields of business, engineering, economics and science. Everyday examples include practical applications in resource management, financial and investment planning, healthcare systems, energy and environmental policy, pattern classification, biotechnology and a host of other areas. Tabu search has emerged as one of the leading technologies for handling real-world problems that have proved difficult or impossible to solve with classical procedures.

Optimizing AI/ML Hyperparameters with SimWrapper and OptQuest

Download our report to see how SimWrapper and OptQuest can be used to optimally tune hyperparameters for your AI/ML models.