Lecture 9: Multi-Objective Optimization Suggested reading: K. Deb, Multi-Objective Optimization using Evolutionary Algorithms, John Wiley & Sons, Inc., 2001

In multi-objective optimization, multiple conflicting goals make it impossible to identify a single best solution without knowing the decision makers’ preferences, as all trade-off solutions are equally …

After all, it is the balanced design with equal or weighted treatment of performance, cost, manufacturability and supportability which has to be the ultimate goal of multidisciplinary system …

This paper examines algorithmic methods, applications, trends, and issues in multi-objective optimization research. This exhaustive review explains MOO algorithms, their methods, and their …

Problems that have more than one objective is referred to as multi-objective optimization (MOO). This type of problem is found in everyday life, such as mathematics, engineer-ing, social studies, …

This chapter focusses on multi-objective optimization problems that can be characterized within the paradigm of mathematical programming. Three modelling techniques that are well established in the …

Stochastic multi-objective optimization \Multi-objective methods": they convert the original problem into an approximated deterministic multi-objective one (e.g., using SAA).