Ehrgott / Naujoks / Stewart Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems

Proceedings of the 19th International Conference on Multiple Criteria Decision Making, Auckland, New Zealand, 7th - 12th January 2008
1. Auflage 2010
ISBN: 978-3-642-04045-0
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 634, 389 Seiten, eBook

Reihe: Lecture Notes in Economics and Mathematical Systems

In the twenty-first century the sustainability of energy and transportation systems is on the top of the political agenda in many countries around the world.Environmental impacts of human economic activity necessitate the consideration of conflicting goals in decision making processes to develop sustainable systems. Any sustainable development has to reconcile conflicting economic and environmental objectives and criteria. The science of multiple criteria decision making has a lot to offer in addressing this need. Decision making with multiple (conflicting) criteria is the topic of research that is at the heart of the International Society of Multiple Criteria Decision Making. This book is based on selected papers presented at the societies 19th International Conference, held at The University of Auckland, New Zealand, from 7th to 12th January 2008 under the theme "MCDM for Sustainable Energy and Transportation Systems''.

Zielgruppe

Research

Autoren/Hrsg.

Ehrgott, Matthias

Naujoks, Boris

Wallenius, Jyrki

Stewart, Theodor

Inhaltsverzeichnis

Multiple Criteria Decision Making, Transportation, Energy Systems, and the Environment.- On the Potential of Multi-objective Optimization in the Design of Sustainable Energy Systems.- Evaluation of the Significant Renewable Energy Resources in India Using Analytical Hierarchy Process.- Multiple Criteria Decision Support for Heating Systems in Electric Transport.- Multi Criteria Decision Support for Conceptual Integral Design of Flex(eble)(en)ergy Infrastructure.- A Multi Criteria Knapsack Solution to Optimise Natural Resource Management Project Selection.- Environmental and Cost Synergy in Supply Chain Network Integration in Mergers and Acquisitions.- The Analytic Hierarchy Process in the Transportation Sector.- RECIFE: A MCDSS for Railway Capacity Evaluation.- Balancing Efficiency and Robustness – A Bi-criteria Optimization Approach to Railway Track Allocation.- Tolling Analysis with Bi-objective Traffic Assignment.- Applications of Multiple Criteria Decison Making in Other Areas.- National Risk Assessment in The Netherlands.- Evaluation of Green Suppliers Considering Decision Criteria Dependencies.- A Multiobjective Bilevel Program for Production-Distribution Planning in a Supply Chain.- An Ordinal Regression Method for Multicriteria Analysis of Customer Satisfaction.- Discrete Time-Cost Tradeoff with a Novel Hybrid Meta-Heuristic.- Goal Programming Models and DSS for Manpower Planning of Airport Baggage Service.- A MCDM Tool to Evaluate Government Websites in a Fuzzy Environment.- Investigating Coverage and Connectivity Trade-offs in Wireless Sensor Networks: The Benefits of MOEAs.- AHP as an Early Warning System: An Application in Commercial Banks in Turkey.- A Multi-Criteria Evaluation of Factors Affecting Internet Banking in Turkey.- Theory and Methodology ofMultiple Criteria Decision Making.- Priority Elicitation in the AHP by a Pareto Envelope-Based Selection Algorithm.- Bibliometric Analysis of Multiple Criteria Decision Making/Multiattribute Utility Theory.- Ordinal Qualitative Scales.- Multi-objective Model Predictive Control.- Multiple Criteria Nonlinear Programming Classification with the Non-additive Measure.- Multiple Objective Optimization.- A Reduced-Cost SMS-EMOA Using Kriging, Self-Adaptation, and Parallelization.- Faster Hypervolume-Based Search Using Monte Carlo Sampling.- Using a Gradient Based Method to Seed an EMO Algorithm.- Nadir Point Estimation Using Evolutionary Approaches: Better Accuracy and Computational Speed Through Focused Search.- A Branch and Bound Algorithm for Choquet Optimization in Multicriteria Problems.- Decision Space Diversity Can Be Essential for Solving Multiobjective Real-World Problems.- Computing and Selecting ?-Efficient Solutions of {0, 1}-Knapsack Problems.