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Multi-objective optimization under uncertainty
Published on Nov 17, 20171008 Views
Multi-objective optimization problems under uncertainty (MOPs-U) have received considerable and increasing interest these recent years in the field of discrete and continuous multi-objective optimizat
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Chapter list
Multi - objective Evolutionary Optimization under Uncertainty00:00
MOP under uncertainty - Motivations00:35
Outline02:50
Multi - objective optimization - 104:46
Multi - objective optimization - 204:50
Multi - objective optimization - 305:11
Multi - objective optimization - 405:30
Evolutionary multi - objective optimization06:04
Evolutionary multi - objective Algorithms06:11
Classical Evolutionary Multi - Objective Algorithms07:44
Performance Analysis Methodology 08:31
Indicator - based EMO09:13
Uncertainty in MOPs 10:08
Source of uncertainty 10:34
Uncertainty and Multiobjective Optimization12:17
Models of uncertainty13:38
Aggregation versus non Aggregation methods 16:05
Solving methods (fitness assignment) 18:27
Illustrative examples of uncertain MOPs19:21
Permutation Flow - shop Scheduling 19:35
Stochastic Processing Times 21:03
Fuzzy vehicle routing problem21:19
Flow - shop scheduling: Sources of Uncertainty22:51
Multi - objective optimization under Random Uncertainty23:06
Scenario - based Uncertainty Handling23:55
Aggregation based approaches24:37
Objective Vector - level Approaches24:55
Indicator - level aggregation approach25:28
Application to flow - shop scheduling 26:18
Multi - objective optimization under Epistemic uncertainty26:52
Fuzzy data representation - 127:57
Fuzzy data representation - 228:47
Fuzzy topological relationships29:30
Fuzzy Pareto approach - 130:25
Fuzzy Pareto approach - 230:45
Fuzzy Pareto approach - 331:02
Fuzzy Pareto approach - 431:27
Fuzzy Pareto approach - 532:06
Fuzzy Pareto approach - 632:34
Fuzzy Pareto approach - 732:41
EMOAs under Epistemic Uncertainty33:04
SPEA2 Diversity strategy - 134:03
SPEA2 Diversity strategy - 234:45
Extended Fuzzy SPEA235:21
NSGA -II diversity strategy35:46
Extended Fuzzy NSGA - II36:16
Performance assessment - 136:27
Performance assessment - 237:35
Performance assessment SPEA238:17
Performance assessment NSGA - II38:40
Performance evaluation indicators38:47
Comparison SPEA2 and NSGA - II - 139:16
Comparison SPEA2 and NSGA - II - 239:33
Comparison SPEA2 and NSGA - II - 339:45
Conclusions and Perspectives40:06