Scalarizing Multiobjective Optimization Problems
Scalarizing a multiobjective optimization problem means formulating a single-objective optimization problems such that optimal solutions to the single-objective optimization problem are Pareto optimal solutions to the multiobjective optimization problem. With different parameters for the scalarization, different Pareto optimal solutions are produced. A well-known example is the so-called linear scalarization (see, e.g.,)
where the weights of the objectives are the parameters of the scalarization.
Read more about this topic: Multi-objective Optimization
Famous quotes containing the word problems:
“Grandparents can be role models about areas that may not be significant to young children directly but that can teach them about patience and courage when we are ill, or handicapped by problems of aging. Our attitudes toward retirement, marriage, recreation, even our feelings about death and dying may make much more of an impression than we realize.”
—Eda Le Shan (20th century)