12. D.L. Parkhurst, C.A.J. Appelo, User’s guide to PHREEQC (version 2)—A computer program
for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations. U.S.G.S., 1999.
13. Y. Méry, L. Tiruta-Barna, E. Benetto, I. Baudin, An integrated “process modelling-life cycle
assessment” tool for the assessment and design of water treatment processes, International
Journal of Life Cycle Assessment, Vol. 18, 2013, pp. 1062–1070.
14. Y. Méry, L. Tiruta-Barna, I. Baudin, E. Benetto, E. Igos, Formalization of a technical
procedure for process ecodesign dedicated to drinking water treatment plants, Journal of
Cleaner Production, Vol. 68, 2014, pp. 16–24.
15. Y. Méry, Development of an integrated tool for Process Modelling and Life Cycle
Assessment—Ecodesign of process plants and application to drinking water treatment.
Chemical and Process Engineering. INSA de Toulouse, 2012. English.
16. F. Capitanescu, A. Marvuglia, E. Benetto, A. Ahmadi, L. Barna, Constraint Programming
versus MIP for LCA-based Multi-Objective Optimization of Sustainable Potable Water
Production Plant, iEMSs Conference, Toulouse (France), 2016.
17. E. Zitzler, M. Laumanns, L. Thiele, SPEA2: Improving the Strength Pareto Evolutionary
Algorithm for Multiobjective Optimization, In: Evolutionary Methods for Design,
Optimisation and Control with Application to Industrial Problems (Eds. Giannakoglou K.C.
et al.), Proceedings of the EUROGEN2001 Conference, Athens, Greece, 2002, pp. 95–100.
18. K. Deb, S. Agrawal, A. Pratap, T. Meyarivan, A Fast Elitist Non-dominated Sorting Genetic
Algorithm for Multi-objective Optimization: NSGA-II, PPSN VI, LNCS, 1917, 2000,
pp. 849–858.
19. T. Achterberg, SCIP: solving constraint integer programs, Mathematical Programming
Computation, 2009, pp. 1–41.
20. G. Mavrotas, Effective implementation of the e-constraint method in Multi-Objective
Mathematical Programming problems. Applied Mathematics and Computation, 2009; Vol.
2013, pp. 455–65.
21. F. Capitanescu, E. Igos, A. Marvuglia, E. Benetto, Midpoint vs single score in multi-criteria
optimization under life cycle assessment constraints: the case of potable water treatment
chains, Enviroinfo Conference, Copenhagen (Denmark), 2015.
Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as long as you give appropriate
credit to the original author(s) and the source, provide a link to the Creative Commons license and
indicate if changes were made.
The images or other third party material in this chapter are included in the chapter’s Creative
Commons license, unless indicated otherwise in a credit line to the material. If material is not
included in the chapter’s Creative Commons license and your intended use is not permitted by
statutory regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder.
A Synthesis of Optimization Approaches …
31
for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations. U.S.G.S., 1999.
13. Y. Méry, L. Tiruta-Barna, E. Benetto, I. Baudin, An integrated “process modelling-life cycle
assessment” tool for the assessment and design of water treatment processes, International
Journal of Life Cycle Assessment, Vol. 18, 2013, pp. 1062–1070.
14. Y. Méry, L. Tiruta-Barna, I. Baudin, E. Benetto, E. Igos, Formalization of a technical
procedure for process ecodesign dedicated to drinking water treatment plants, Journal of
Cleaner Production, Vol. 68, 2014, pp. 16–24.
15. Y. Méry, Development of an integrated tool for Process Modelling and Life Cycle
Assessment—Ecodesign of process plants and application to drinking water treatment.
Chemical and Process Engineering. INSA de Toulouse, 2012. English.
16. F. Capitanescu, A. Marvuglia, E. Benetto, A. Ahmadi, L. Barna, Constraint Programming
versus MIP for LCA-based Multi-Objective Optimization of Sustainable Potable Water
Production Plant, iEMSs Conference, Toulouse (France), 2016.
17. E. Zitzler, M. Laumanns, L. Thiele, SPEA2: Improving the Strength Pareto Evolutionary
Algorithm for Multiobjective Optimization, In: Evolutionary Methods for Design,
Optimisation and Control with Application to Industrial Problems (Eds. Giannakoglou K.C.
et al.), Proceedings of the EUROGEN2001 Conference, Athens, Greece, 2002, pp. 95–100.
18. K. Deb, S. Agrawal, A. Pratap, T. Meyarivan, A Fast Elitist Non-dominated Sorting Genetic
Algorithm for Multi-objective Optimization: NSGA-II, PPSN VI, LNCS, 1917, 2000,
pp. 849–858.
19. T. Achterberg, SCIP: solving constraint integer programs, Mathematical Programming
Computation, 2009, pp. 1–41.
20. G. Mavrotas, Effective implementation of the e-constraint method in Multi-Objective
Mathematical Programming problems. Applied Mathematics and Computation, 2009; Vol.
2013, pp. 455–65.
21. F. Capitanescu, E. Igos, A. Marvuglia, E. Benetto, Midpoint vs single score in multi-criteria
optimization under life cycle assessment constraints: the case of potable water treatment
chains, Enviroinfo Conference, Copenhagen (Denmark), 2015.
Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as long as you give appropriate
credit to the original author(s) and the source, provide a link to the Creative Commons license and
indicate if changes were made.
The images or other third party material in this chapter are included in the chapter’s Creative
Commons license, unless indicated otherwise in a credit line to the material. If material is not
included in the chapter’s Creative Commons license and your intended use is not permitted by
statutory regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder.
A Synthesis of Optimization Approaches …
31