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This book gathers selected contributions by top Portuguese and
international researchers in the field of Operations Research,
presented at the 19th Congress of APDIO (Portuguese Association of
Operational Research). The papers address a broad range of complex
real-world problems, which are approached using recent theoretical
techniques. Of particular interest are the applications of e.g.
linear, nonlinear and mixed-integer programming, multiobjective
optimization, metaheuristics and hybrid heuristics, multicriteria
decision analysis, data envelopment analysis, clustering techniques
and decision support systems, in such varied contexts as: supply
chain management, scheduling problems, production management,
logistics, energy, finance and healthcare. This conference,
organized by APDIO and held in Aveiro, Portugal in September 2018,
offered an ideal opportunity to discuss the latest developments in
this field and to build new bridges between academic researchers
and practitioners. Summarizing the outcomes, this book offers a
valuable tool for all researchers, students and practitioners who
wish to learn about the latest trends in this field.
This book opens the door to multiobjective optimization for
students in fields such as engineering, management, economics and
applied mathematics. It offers a comprehensive introduction to
multiobjective optimization, with a primary emphasis on
multiobjective linear programming and multiobjective integer/mixed
integer programming. A didactic book, it is mainly intended for
undergraduate and graduate students, but can also be useful for
researchers and practitioners. Further, it is accompanied by an
interactive software package - developed by the authors for Windows
platforms - which can be used for teaching and decision-making
support purposes in multiobjective linear programming problems.
Thus, besides the textbook's coverage of the essential concepts,
theory and methods, complemented with illustrative examples and
exercises, the computational tool enables students to experiment
and enhance their technical skills, as well as to capture the
essential characteristics of real-world problems.
This book opens the door to multiobjective optimization for
students in fields such as engineering, management, economics and
applied mathematics. It offers a comprehensive introduction to
multiobjective optimization, with a primary emphasis on
multiobjective linear programming and multiobjective integer/mixed
integer programming. A didactic book, it is mainly intended for
undergraduate and graduate students, but can also be useful for
researchers and practitioners. Further, it is accompanied by an
interactive software package - developed by the authors for Windows
platforms - which can be used for teaching and decision-making
support purposes in multiobjective linear programming problems.
Thus, besides the textbook's coverage of the essential concepts,
theory and methods, complemented with illustrative examples and
exercises, the computational tool enables students to experiment
and enhance their technical skills, as well as to capture the
essential characteristics of real-world problems.
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