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:
““What we know, is a point to what we do not know.” Open any recent journal of science, and weigh the problems suggested concerning Light, Heat, Electricity, Magnetism, Physiology, Geology, and judge whether the interest of natural science is likely to be soon exhausted.”
—Ralph Waldo Emerson (1803–1882)