Optimus Release 10.14 Includes Particle Swarm Algorithm, Cluster Analysis and Task Monitoring

Noesis Solutions, maker of flagship design optimization software Optimus, announced the release of Optimus Revision 10.14. The latest release of Optimus focuses on user productivity and optimization excellence, incorporating a Particle Swarm Algorithm, cluster analysis for data reduction and deeper insight, and a tasklist-monitoring program.

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Leuven, Belgium (PRWEB) June 18, 2014

Noesis Solutions (http://www.noesissolutions.com/), maker of flagship design optimization software Optimus, announced the release of Optimus Revision 10.14. The latest release of Optimus focuses on user productivity and optimization excellence, incorporating a Particle Swarm Algorithm, cluster analysis for data reduction and deeper insight, and a tasklist-monitoring program.

Particle Swarm Optimizaton Algorithm:
The Particle Swarm Optimization algorithm that Noesis Solutions included in the latest Optimus release 10.14 implements the same swarm intelligence principles that are displayed in nature. Using the same swarm intelligence that schools of fish or flocks of birds naturally display, Particle Swarm Optimization (a method originally developed in 1995 by Dr. Eberhart and Dr. Kennedy) is based on the principle that all individuals within a flock continuously adjust their positions by making compromises between the ‘local best positions’ pursued by each of them individually and the ‘global best positions’ indicated by the entire flock. The PSO algorithm released in the latest Optimus upgrade uses this intelligence to adjust all design variables for the good of the whole, in order to achieve the most ideal design outcome.

The Particle Swarm Optimization algorithm adds even greater efficiency to the multiobjective design optimization software, and increases ease of use and accuracy as well.

Cluster Analysis:
In addition to the PSO algorithm, the Optimus 10.14 release introduced a cluster analysis upgrade which allows for deeper design insights and data reduction. Engineers often use cluster analysis to identify interesting subregions in the design space to be explored in greater detail. This fully automated data clustering capability released in the new Optimus version groups design elements with similar characteristics in clusters, which enable one to draw valuable correlations between data points more efficiently and with much greater accuracy.

Tasklist Monitoring:
The Optimus 10.14 release also included a Tasklist Monitoring upgrade to allow for enhanced user control. This tasklist functionality allows engineers to make the most of Optimus’s robust technology by organizing a gradient-based design optimization strategy. The new Tasklist Monitoring function allows for an enhanced user experience with greater efficiency and control over the tasklist, and the ability to monitor progress of all methods and models in real-time. It allows users to take instant action by pausing, stopping, replacing or skipping a specific method. It also supports the use of simulation models in a nested Optimus simulation workflow to address complex multi-disciplinary engineering challenges.

To learn more about Optimus 10.14 and Noesis Solutions, visit http://www.noesissolutions.com or register for the Optimus 2014 World Conference at http://www.optimus2014.com/.


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