Multiple Objective Optimization

Dirk Inghels
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Dirk Inghels: Vrije Universiteit Amsterdam

Chapter Chapter 3 in Introduction to Modeling Sustainable Development in Business Processes, 2020, pp 59-79 from Springer

Abstract: Abstract In this chapter, we discuss the differences between a MOOP and a SOOP and present the weighted sum approach and the ε-constraint method to solve convex MOOPs formulated as multi-objective linear optimization problems (MOLPs). Moreover, we highlight the fundamental principles of multi-objective optimization and present a way to explore the Pareto optimal front, a function that contains all the optimal solutions for the MOOP.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-58422-1_3

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DOI: 10.1007/978-3-030-58422-1_3

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