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Multiple Optima

Excerpt

One of the several attributes of optimization applications that can lead an optimization astray is the existence of multiple optima, multiple local minima. If an optimizer trial solution is in the vicinity of local optima, then it will seek the bottom of that local hole, and not climb out to see the deeper hole next door. The concept is illustrated in Figure 23.1.

One of the several attributes of optimization applications that can lead an optimization astray is the existence of multiple optima, multiple local minima. If an optimizer trial solution is in the vicinity of local optima, then it will seek the bottom of that local hole, and not climb out to see the deeper hole next door. The concept is illustrated in Figure 23.1.

23.1Introduction
23.2Solution: Multiple Starts
23.3Other Options
23.4Takeaway
23.5Exercises
23.1Introduction
23.2Solution: Multiple Starts
23.3Other Options
23.4Takeaway
23.5Exercises

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