Nature-Inspired Optimization Algorithms

14

Multi-Objective Optimization

Abstract

Real-world optimization problems often have multiple and potentially conflicting objectives. The algorithms that work for single objective optimization require some modifications before they can be used to solve multi-objective optimization problems. In addition, new concepts such as Pareto optimality need to be introduced. This chapter introduces the commonly used methods to deal with multi-objective optimization.

Keywords

Multi-objective

Multicriteria

Pareto front

Pareto optimality

Nondominated solutions

Weighted sum method

Utility function

All the optimization problems we discussed so far have only a single objective. In reality, we often have to optimize multiple objectives simultaneously. For ...