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AnyLogic™

Advanced Optimization

OptQuest^TM

AnyLogic^TM 5.0 integrates the powerful OptQuest^TM optimization algorithm that has been shown to be an extremely effective method for finding optimal and excellent solutions for even the most challenging non-linear model structures.  The highly efficient OptQuest^TM optimization algorithm is seamlessly integrated into the AnyLogic^TM simulation framework and supports a wide range of optimization structures complete with constraints and optimization under uncertainty.

External Optimization Routines

In addition to the native OptQuest^TM optimization routine, the extensible nature of AnyLogic^TM allows for the integration of a wide variety of optimization approaches including both linear and non-linear optimization algorithms written in Java.

Genetic Algorithms

AnyLogic^TM users have the ability to use the native Genetic Algorithm capabilities that are built into the OptQuest^TM optimization routine, or they can utilize custom genetic algorithms or third party Java implementations.  Genetic Algorithms have proven to be extremely capable for handling complex non-linear systems under uncertainty.  As the following graphic demonstrates, Genetic Algorithms provide a powerful tool for identifying optimal inputs or solutions, and demonstrate considerable progress over time.