Introduction

Abstract

Optimization may be considered as a decision-making process to get the most out of available resources for the best attainable results. Simple examples include everyday decisions, such as the type of transport to take, which clothes to wear and what groceries to buy. For these routine tasks, the decision to be made for, say, the cheapest transport can be exceedingly clear. Consider now, the situation where we are running late for a meeting due to some unforeseen circumstances. Since the need for expedition is conflicting to the first consideration of minimizing cost, the selection of the right form of transportation is no longer as straight-forward as before and the final solution will represent a compromise between the different objectives. This type of problems, which involves the simultaneous consideration of multiple objectives, are commonly termed as multi-objective problems.