On the application of multiobjective optimization to software development process and antenna designing

Abstract

This thesis, presented as a collection of articles, explores the practical benefits of using multi-objective optimization combined with simulation applications. In this thesis, with practical application, we provide practical insights about how metaheuristics combined with simulation, i.e., simulation optimisation, can provide solutions in real world applications. This thesis begins by presenting a case of multi-objective optimisation techniques via simulation to help software project managers find the best configuration for ITIL (Information Technology Infrastructure Library) based projects, such that schedule estimates for a given project, time and productivity are optimised. Project management data can be obtained via simulation, for example, to optimize the number of resources used in each phase of the project life. Another case study is also presented about how simulation optimisation can help with the design of any type of antenna. In this case study, the objective is to achieve a dualband helical antenna, as compact as possible, for Telemetry, Tracking, and Control (TTC) of satellites. Reducing the volume and weight of any devices installed on satellites while maintaining their operational requirements is of paramount importance. Finally, an algorithm will be presented that improves the performance of a part of some meta-heuristic multi-objective optimization algorithms, known as the Pareto front calculation