Phoenix Integration Webcasts

You are here: Home >> Library >> Previous Webcasts >> Previous Webcast Details

Guidelines for Optimizing Systems with Multiple, Competing Objectives

Format:	On-Demand Webcast (Pdf Presentation)
Presenters:	Scott Woyak, President and CEO, Phoenix Integration

Overview:
Most real-world systems contain competing objectives: strength vs. weight, performance vs. cost, power vs. efficiency. In general it is not possible to improve one condition without negatively impacting the other. Optimizing these kinds of systems is about achieving balance instead of minimizing or maximizing a specific quantity

Multi-Objective Optimization requires unique approaches that educate the user about trade offs instead of searching for point solutions. New tools such as Genetic Algorithms, Data Mining, and computing clusters are enabling the practical usage of Multi-Objective Optimization.

The Webcast will include:

• Multi-Objective Optimization Techniques
• Genetic Algorithm Optimization
• Pareto Frontiers
• CAIV: Cost As an Independent Variable
• Data Mining and Visualization
• Application of PHX ModelCenter® with Visualization and Optimization packages

See a demonstration of creating and evaluating Pareto Frontiers
Phoenix products featured during this Webcast include PHX ModelCenter® with Visualization and Optimization packages

Download Part 1 Pdf Presentation Now
Download Part 2 Pdf Presentation Now
(A one-time registration will be requested)