4.5.1 Featureassessment....................... 80 4.5.2 Comparing FT-MOEA and FT-MOEA-CM ............ 82 4.5.3 FT-MOEA-CM’s Features: parallelisation and caching . . . . . 86 4.6 Generaldiscussion ........................... 87 4.7 Conclusions ............................... 89 4.8 References................................ 91 Part II: Multi-state deterioration modelling 93 II.1 Introduction .............................. 93 II.2 Nomenclature ............................. 94 II.3 Relatedwork.............................. 94 II.4 Preliminaries .............................. 95 II.4.1 Markovchains ......................... 95 II.4.2 Case studies in sewer networks: overview . . . . . . . . . . 99 II.4.3 Breda’scasestudy....................... 100 II.4.4 Deterioration modelling in sewer mains using Markov Chains 104 II.5 References ............................... 106 5 Deterioration Modelling of Sewer Pipes via Discrete-Time Markov Chains: A Large-Scale Case Study in the Netherlands 111 Abstract................................. 111 5.1 Introduction............................... 112 5.2 Discrete-Time Markov Chains . . . . . . . . . . . . . . . . . . . . . 113 5.3 Methodology .............................. 115 5.3.1 Step 1: Data pre-processing . . . . . . . . . . . . . . . . . . 115 5.3.2 Step 2: Definition of cohorts . . . . . . . . . . . . . . . . . 115 5.3.3 Step3: Discretisedtable. . . . . . . . . . . . . . . . . . . . 115 5.3.4 Step 4: Calibration of the Discrete-Time Markov Chain . . 116 5.4 Experimentalevaluation........................ 117 5.4.1 Casestudy ........................... 117 5.4.2 Results ............................. 117 Comparing Cohorts CMW and CR ................ 118 Comparing Cohorts PMW and PR ................ 119 Comparing Cohorts CdL and CdG ............... 119 Comparing Chains “Multi” and “Single” . . . . . . . . . . . 119 5.5 Discussion, conclusions and future work . . . . . . . . . . . . . . . 119 5.6 References................................ 120 6 Comparing Homogeneous and Inhomogeneous Time Markov Chains for Modelling Deterioration in Sewer Pipe Networks 123 Abstract................................. 123 6.1 Introduction............................... 124 6.2 Methodsandmaterials......................... 125
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