Multiobjective Linear and Integer Programming

Introduction.- Problem formulation and definitions.- Surrogate scalar functions and scalarization techniques.- Interactive methods in multiobjective linear programming.- A guided tour of the iMOLPe.- Multiobjective integer and mixed-integer linear programming.

Carlos Henggeler Antunes is Professor at the Department of Electrical and Computer Engineering of the Faculty of Sciences and Technology of the University of Coimbra, Portugal, and researcher at the R&D Institute INESC Coimbra. He received the PhD degree in Electrical Engineering, specialization in Optimization and Systems Theory, at the University of Coimbra. He has published papers in international journals including the European Journal of Operational Research, Annals of Operations Research, Energy Conversion and Management, Omega, OR Spectrum, Neurocomputing, Optimization and Engineering, Energy, Renewable and Sustainable Energy Reviews, IEEE Transactions on Sustainable Energy, Computers and Operations Research, Journal of the Operational Research Society. He is Editor of the EURO Journal on Decision Processes and member of the Editorial Board of the Journal of Energy Markets. His research interests are focused on multiple objective optimization and metaheuristics, multiple criteria decision analysis, energy systems and policies, energy efficiency.

"This tutorial on multiobjective programming is based on the vast teaching and research experience of the authors. ... Readers do not require an advanced mathematics background to grasp the whole content of the book. It is clearly written, accompanied with exercises at the end of each chapter, making it a great contribution to acquiring knowledge in the field of multiobjective optimization." (Hans W. Ittmann, IFORS News, Vol.11 (2), 2017)





"A peculiar feature of this book is the authors' intention to explain concepts and methods of multiobjective linear programming through examples in low dimensional spaces without any theorems or proofs. This enables the readers grasp the whole content of the book without advanced mathematics background. The book is clearly written, accompanied with exercises for training at the end of each chapter. It is a nice contribution to the field of multiobjective optimization." (Dinh The Luc, zbMATH 1358.90123, 2017)"The authors present a textbook in multiobjective programming, based on their vast teaching and research experience. They focus in particular on linear and integer multiobjective programming problems. ... The authors provide many illustrative examples, as well as exercise (many of them with solution). This makes the book very useful for undergraduate and graduate students in all the areas where multiobjective programming appears, e.g. students in engineering or economics." (Marcin Anholcer, Mathematical Reviews, October, 2016)