TY - BOOK ID - 8582406 TI - Multiobjective Linear and Integer Programming AU - Henggeler Antunes, Carlos. AU - Alves, Maria Joao. AU - Climaco, Joao. PY - 2016 SN - 3319287443 331928746X PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Business. KW - Operations research. KW - Decision making. KW - Management science. KW - Business and Management. KW - Operation Research/Decision Theory. KW - Operations Research, Management Science. KW - Quantitative business analysis KW - Deciding KW - Decision (Psychology) KW - Decision analysis KW - Decision processes KW - Making decisions KW - Management KW - Management decisions KW - Operational analysis KW - Operational research KW - Trade KW - Decision making KW - Operations Research/Decision Theory. KW - Industrial engineering KW - Management science KW - Research KW - System theory KW - Integer programming. KW - Linear programming. KW - Production scheduling KW - Programming (Mathematics) KW - Problem solving KW - Operations research KW - Statistical decision KW - Choice (Psychology) UR - https://www.unicat.be/uniCat?func=search&query=sysid:8582406 AB - 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. ER -