دانلود کتاب Advancing Robust Multi-Objective Optimisation Applied to Complex Model-Based Water-Related Problems

فهرست مطالب :

1 Introduction

1.1 Background

1.2 Motivation

1.3 Research questions

1.4 Objectives

1.5 Innovation, practical value and social relevance

1.6 Thesis structure

2.1 Evolutionary algorithms

2.2 Main types of multi-objective optimisation (MOO) algorithms

2.3 Robust multi-objective optimisation (RMOO)

2.4 Conclusions

3.1 Methodological framework

3.2 Identification and characterization of uncertainty sources

3.3 General formulation of the optimisation problem

3.4 Mathematical definitions of robustness metrics

3.5 Selection of MOO algorithm

3.6 Formulation of the proposed RMOO algorithm

3.7 Reliability of satisfying constraints

3.8 Dealing with more than two objective functions

3.9 Experimental plan

3.10 Exemplifying ROPAR

3.11 Analysis of computational complexity

4.1 Problem statement

4.2 Experimental setup

4.3 Results and discussion

4.4 Conclusions

5.1 Problem statement

5.2 Experimental setup

5.3 Case studies

5.4 Results and discussion

5.5 Conclusions

6 Robust optimisation of a storm drainage system: more objectives and sources of uncertainty

6.1 Problem statement

6.2 Experimental setup

6.3 Case study

6.4 Results and discussion

6.5 Conclusions

7.1 Water age minimisation problem and its deterministic solution

7.2 Using ROPAR with the new MOO, two objective functions, twenty four sources of uncertainty

7.3 Conclusions

8.1 Summary

8.2 Conclusions

8.3 Limitation of this study

8.4 Recommendations