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Midpoint vs Single Score in Multi-Criteria Optimization under Life Cycle Assessment Constraints: the Case of Potable Water Treatment Chains

Authors
Capitanescu, Florin (Environmental Research and Innovation (ERIN), Luxembourg Institute of Science and Technology (LIST))
Search for Florin Capitanescu in Research Programmes Information System
Igos, Elorri (Environmental Research and Innovation (ERIN), Luxembourg Institute of Science and Technology (LIST))
Search for Elorri Igos in Research Programmes Information System
Marvuglia, Antonino (Environmental Research and Innovation (ERIN), Luxembourg Institute of Science and Technology (LIST))
Search for Antonino Marvuglia in Research Programmes Information System
Benetto, Enrico (Environmental Research and Innovation (ERIN), Luxembourg Institute of Science and Technology (LIST))
Search for Enrico Benetto in Research Programmes Information System
Chapter ConverStation I
Volume EnviroInfo & ICT4S, Conference Proceedings (Part 1)
Conference Building the knowledge base for environmental action and sustainability
Copenhagen, 2015
Year 2015
Abstract of the Article
This paper addresses the multi-objective constrained optimization of a drinking water production plant. It reports the successful coupling between the Strength Pareto Evolutionary Algorithm (SPEA2), which is a well-established multi-goal elitist metaheuristic global optimizer, and EVALEAU, which is a state-of-the-art process modelling life cycle assessment (LCA) tool for simulation of potable water treatment chains. The paper assesses as well the pros and cons of using midpoint versus single score as environmental goal metrics in a decision making process based on very challenging multi-goal optimization of potable water treatment chains. The proposed approach is illustrated using the model of a real-world drinking water production plant.
Pages 92 - 96
Additional Information 10.2991/ict4s-env-15.2015.11
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