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Foreword; Preface; Contents; Contributors; Abbreviations; 1 Metaheuristic Approaches for the Minimum Cost Hybrid Berth Allocation Problem; 1.1 Introduction; 1.2 Minimum Cost Hybrid Berth Allocation Problem; 1.2.1 Problem Description; 1.2.2 Basic Definitions and Notations; 1.3 Evolutionary Algorithm for MCHBAP; 1.3.1 Representation of Individuals; 1.3.2 Generating Initial Population for EA; 1.3.3 EA Operators; 1.4 Bee Colony Optimization Algorithm for MCHBAP; 1.4.1 Implementation Details; 1.4.2 Improvement Techniques of BCO; 1.5 Variable Neighborhood Search Based Metaheuristic for MCHBAP
1.5.1 Variable Neighborhood Descent for MCHBAP1.5.2 General Variable Neighborhood Search for MCHBAP; 1.6 Experimental Results; 1.7 Conclusion; References; 2 Ship Stability Considerations in the Quay Crane Scheduling Problem; 2.1 Research in Maritime Logistics; 2.2 Ship Stability Consideration; 2.3 Outlook and Future Work; References; 3 Recent Progress Using Matheuristics for Strategic Maritime Inventory Routing; 3.1 Introduction; 3.1.1 Literature Review; 3.1.2 Contributions of this Chapter; 3.2 Problem Description and Formulations
3.2.1 A Discrete-Time Arc-Flow Mixed-Integer Linear Programming Model3.2.2 Additional Valid Inequalities: Mixed Integer Rounding Cuts; 3.3 Matheuristics Explored; 3.3.1 Construction Heuristics; 3.3.2 Improvement Heuristics; 3.3.3 Hybrid Approaches; 3.4 Computational Experiments; 3.4.1 Benchmarking Experiments with Commercial Solvers; 3.4.2 Experiments with Construction Heuristics; 3.4.3 Experiments with Improvement Heuristics; 3.4.4 Experiments with Hybrid Heuristics for Hard Instances Only; 3.4.5 Recommendations for Obtaining Good Solutions Quickly
3.5 Conclusions and Future Research Directions3.6 Nomenclature; 3.7 Appendix; References; 4 Evolutionary Computation for the Ship Routing Problem; 4.1 Introduction; 4.2 Problem Definition; 4.3 Related Work; 4.4 Customization of Evolutionary Algorithms; 4.5 Modelization Issues; 4.6 Computational Results; 4.7 Conclusion; References; 5 Decision Support Tool Employing Bayesian Risk Framework for Environmentally Safe Shipping; 5.1 Introduction; 5.2 Vessel Risk Estimation; 5.2.1 Probability Estimation; 5.2.2 Consequences Estimation; 5.3 Historical Trajectories Preprocessing and Clustering
5.4 Decision Support Tool5.4.1 Description of Tool Functionalities; 5.4.2 Technologies Used; 5.4.3 Data Analytics; 5.5 Decision Support Tool Applications; 5.5.1 Queries in Environmentally Sensitive Areas; 5.5.2 Marine Traffic Monitoring for Environmental Safety; 5.5.3 Influence of Restricted Areas in Marine Traffic; 5.6 Conclusions
Future Plans; References; 6 A Decision Support System for the Assessment of Seaports' Security Under Fuzzy Environment; 6.1 Introduction; 6.2 Literature Review; 6.2.1 Analysis of Maritime Security Systems/Measures; 6.3 Methodology
1.5.1 Variable Neighborhood Descent for MCHBAP1.5.2 General Variable Neighborhood Search for MCHBAP; 1.6 Experimental Results; 1.7 Conclusion; References; 2 Ship Stability Considerations in the Quay Crane Scheduling Problem; 2.1 Research in Maritime Logistics; 2.2 Ship Stability Consideration; 2.3 Outlook and Future Work; References; 3 Recent Progress Using Matheuristics for Strategic Maritime Inventory Routing; 3.1 Introduction; 3.1.1 Literature Review; 3.1.2 Contributions of this Chapter; 3.2 Problem Description and Formulations
3.2.1 A Discrete-Time Arc-Flow Mixed-Integer Linear Programming Model3.2.2 Additional Valid Inequalities: Mixed Integer Rounding Cuts; 3.3 Matheuristics Explored; 3.3.1 Construction Heuristics; 3.3.2 Improvement Heuristics; 3.3.3 Hybrid Approaches; 3.4 Computational Experiments; 3.4.1 Benchmarking Experiments with Commercial Solvers; 3.4.2 Experiments with Construction Heuristics; 3.4.3 Experiments with Improvement Heuristics; 3.4.4 Experiments with Hybrid Heuristics for Hard Instances Only; 3.4.5 Recommendations for Obtaining Good Solutions Quickly
3.5 Conclusions and Future Research Directions3.6 Nomenclature; 3.7 Appendix; References; 4 Evolutionary Computation for the Ship Routing Problem; 4.1 Introduction; 4.2 Problem Definition; 4.3 Related Work; 4.4 Customization of Evolutionary Algorithms; 4.5 Modelization Issues; 4.6 Computational Results; 4.7 Conclusion; References; 5 Decision Support Tool Employing Bayesian Risk Framework for Environmentally Safe Shipping; 5.1 Introduction; 5.2 Vessel Risk Estimation; 5.2.1 Probability Estimation; 5.2.2 Consequences Estimation; 5.3 Historical Trajectories Preprocessing and Clustering
5.4 Decision Support Tool5.4.1 Description of Tool Functionalities; 5.4.2 Technologies Used; 5.4.3 Data Analytics; 5.5 Decision Support Tool Applications; 5.5.1 Queries in Environmentally Sensitive Areas; 5.5.2 Marine Traffic Monitoring for Environmental Safety; 5.5.3 Influence of Restricted Areas in Marine Traffic; 5.6 Conclusions
Future Plans; References; 6 A Decision Support System for the Assessment of Seaports' Security Under Fuzzy Environment; 6.1 Introduction; 6.2 Literature Review; 6.2.1 Analysis of Maritime Security Systems/Measures; 6.3 Methodology