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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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What is the default weight allocation in solving multi-objective on CPLEX?
Weights are defined by you to tell CPLEX how objectives with the same priorities are blended together. If you don't define weights, by default they are all assumed to be equal to 1.
Let's assume in yo …
- 5,904
9
votes
Benchmark problems for combinatorial multi-objective optimization
vOptLib: Library of numerical instances for MultiObjective Linear Optimization problems
From the site:
vOptLib (short for vector optimization library) is a collection
problem instances for benc …
- 5,904