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The generalized area of multiple criteria decision making (MCDM) can be defined as the body of methods and procedures by which the concern for multiple conflicting criteria can be formally incorporated into the analytical process. MCDM consists mostly of two branches, multiple criteria optimization and multi-criteria decision analysis (MCDA). While MCDA is typically concerned with multiple criteria problems that have a small number of alternatives often in an environment of uncertainty (location of an airport, type of drug rehabilitation program), multiple criteria optimization is typically directed at problems formulated within a mathematical programming framework, but with a stack of objectives instead of just one (river basin management, engineering component design, product distribution). It is about the most modern treatment of multiple criteria optimization that this book is concerned. I look at this book as a nicely organized and well-rounded presentation of what I view as ”new wave” topics in multiple criteria optimization. Looking back to the origins of MCDM, most people agree that it was not until about the early 1970s that multiple criteria optimization c- gealed as a field. At this time, and for about the following fifteen years, the focus was on theories of multiple objective linear programming that subsume conventional (single criterion) linear programming, algorithms for characterizing the efficient set, theoretical vector-maximum dev- opments, and interactive procedures.

Mathematical optimization --- Multiple criteria decision making --- Décision multicritère --- Optimisation mathématique --- Bibliography --- Bibliographie --- EPUB-LIV-FT SPRINGER-B --- Business. --- Operations research. --- Decision making. --- Calculus of variations. --- Management science. --- Business and Management. --- Operation Research/Decision Theory. --- Operations Research, Management Science. --- Calculus of Variations and Optimal Control; Optimization. --- Operations Research/Decision Theory. --- Isoperimetrical problems --- Variations, Calculus of --- Maxima and minima --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Decision making

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This book gives the reader an insight into the state of the art in the field of multiobjective (linear, nonlinear and combinatorial) programming, goal programming and multiobjective metaheuristics. The 26 papers describe all relevant trends in this fields of research . They cover a wide range of topics ranging from theoretical investigations to algorithms, dealing with uncertainty, and applications to real world problems such as engineering design, water distribution systems and portfolio selection. The book is based on the papers of the seventh international conference on multiple objective programming and goal programming (MOPGP06).

Multiple criteria decision making --Congresses. --- Programming (Mathematics) --Congresses. --- Multiple criteria decision making --- Programming (Mathematics) --- Operations Research --- Management Theory --- Management --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Business & Economics --- Multiple criteria decision making. --- Mathematical programming --- Goal programming --- Decision making with multiple objectives --- MCDM (Decision making) --- Multiattribute decisions --- Multicriteria decision analysis --- Multicriteria decision making --- Multicriteria decision making analysis --- Multiobjective decision making --- Multiple objective decision making --- Business. --- Operations research. --- Decision making. --- Computer simulation. --- Mathematical optimization. --- Engineering. --- Computational intelligence. --- Economic theory. --- Business and Management. --- Operation Research/Decision Theory. --- Engineering, general. --- Optimization. --- Simulation and Modeling. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Computational Intelligence. --- Economic theory --- Political economy --- Social sciences --- Economic man --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Construction --- Industrial arts --- Technology --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Model-integrated computing --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Trade --- Economics --- Commerce --- Industrial management --- Decision making --- Algorithms --- Functional equations --- Mathematical optimization --- Operations Research/Decision Theory.

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This book constitutes the refereed proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2009, held in Nantes, France in April 2009. The 39 revised full papers presented together with 5 invited talks were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on theoretical analysis, uncertainty and noise, algorithm development, performance analysis and comparison, applications, MCDM Track, Many objectives, alternative methods, as well as EMO and MCDA.

Complex analysis --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- complexe analyse (wiskunde) --- KI (kunstmatige intelligentie) --- robots --- numerieke analyse

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Complex analysis --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- complexe analyse (wiskunde) --- KI (kunstmatige intelligentie) --- robots --- numerieke analyse