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Results tagged with multi-objective-optimization
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Multi-objective optimization is an area of multiple criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously. Involve two or more optimization goals that are conflicting, meaning that improvement to one objective comes at the expense of another objective. The two methods for perform a multi-objetive-optimization are Pareto and scalarization.
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Do you know production deployments of multi-objective optimization?
In mathematical optimization software, defining the weight and level (hard/soft) of each of the objectives/constraints is often difficult for the business people at software development time, due to t …
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Are simulations a form of multi-objective optimization?
Where is the line when an approach is called multi-objective optimization? For example:
Problem
Presume I want to optimize an optimization problem, for example nurse rostering, with 2 soft constraints …
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