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Diederik M. Roijers Multi-Objective Decision Making

Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict, e.g., we can often increase the efficacy of the treatment, but at the cost of more severe side effects. In this book, we outline how to deal with multiple objectives in decision-theoretic planning and reinforcement learning algorithms. To illustrate this, we employ the popular problem classes of multi-objective Markov decision processes (MOMDPs) and multi-objective coordination graphs (MO-CoGs). First, we discuss different use cases for multi-objective decision making, and why they often necessitate explicitly multi-objective algorithms. We advocate a utility-based approach to multi-objective decision making, i.e., that what constitutes an optimal solution to a multi-objective decision problem should be derived from the available information about user utility. We show how different assumptions about user utility and what types of policies are allowed lead to different solution concepts, which we outline in a taxonomy of multi-objective decision problems. Second, we show how to create new methods for multi-objective decision making using existing single-objective methods as a basis. Focusing on planning, we describe two ways to creating multi-objective algorithms: in the inner loop approach, the inner workings of a single-objective method are adapted to work with multi-objective solution concepts; in the outer loop approach, a wrapper is created around a single-objective method that solves the multi-objective problem as a series of single-objective problems. After discussing the creation of such methods for the planning setting, we discuss how these approaches apply to the learning setting. Next, we discuss three promising application domains for multi-objective decision making algorithms: energy, health, and infrastructure and transportation. Finally, we conclude by outlining important open problems and promising future directions.

2442.82 RUR

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Gerardus Blokdyk Project Objective A Complete Guide - 2020 Edition

Do you still have the budget to meet project objectives? Are project objectives being met? Is a robust project value assurance framework in place to assure project objectives (time, Cost, Quality, operability)? Are project objectives clearly defined and appropriate? Do the response actions have a positive or negative effect on achieving project objectives? This premium Project Objective self-assessment will make you the principal Project Objective domain visionary by revealing just what you need to know to be fluent and ready for any Project Objective challenge. How do I reduce the effort in the Project Objective work to be done to get problems solved? How can I ensure that plans of action include every Project Objective task and that every Project Objective outcome is in place? How will I save time investigating strategic and tactical options and ensuring Project Objective costs are low? How can I deliver tailored Project Objective advice instantly with structured going-forward plans? There’s no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Project Objective essentials are covered, from every angle: the Project Objective self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Project Objective outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Project Objective practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Project Objective are maximized with professional results. Your purchase includes access details to the Project Objective self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: – The latest quick edition of the book in PDF – The latest complete edition of the book in PDF, which criteria correspond to the criteria in… – The Self-Assessment Excel Dashboard – Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation – In-depth and specific Project Objective Checklists – Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

5707.83 RUR

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Mark Frost Second Objective

Neal Goldstein Objective-C Programming For Dummies

A step-by-step guide to understanding object-oriented programming with Objective-C As the primary programming language for iPhone, iPad, and Mac OS X applications, Objective-C is a reflective, object-oriented language that all programmers must know before creating apps. Assuming no prior programming language experience, this fun-and-friendly book provides you with a solid understanding of Objective-C. Addressing the latest version of Xcode, debugging, code completion, and more, veteran author Neal Goldstein helps you gain a solid foundation of this complex topic, and filters out any unnecessary intricate technical jargon. Assumes no prior knowledge of programming and keeps the tone clear and entertaining Explains complicated topics regarding Objective-C with clarity and in a straightforward-but-fun style that has defined the For Dummies brand for 20 years Features all material completely compliant with the latest standards for Objective-C and Apple programming Objective-C Programming For Dummies is the ideal beginner book if your objective is to venture into iPhone, iPad, and Mac OS X development for the first time!

2223.38 RUR

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Ginna Gray The Prime Objective

Max Seelemann Objective-C kompakt

Jie Chen Decomposition-based Evolutionary Optimization In Complex Environments

Multi-objective optimization problems (MOPs) and uncertain optimization problems (UOPs) which widely exist in real life are challengeable problems in the fields of decision making, system designing, and scheduling, amongst others. Decomposition exploits the ideas of ÔÇÿmaking things simpleÔÇÖ and ÔÇÿdivide and conquerÔÇÖ to transform a complex problem into a series of simple ones with the aim of reducing the computational complexity. In order to tackle the abovementioned two types of complicated optimization problems, this book introduces the decomposition strategy and conducts a systematic study to perfect the usage of decomposition in the field of multi-objective optimization, and extend the usage of decomposition in the field of uncertain optimization.<b>Contents:</b> <ul><li>Introduction</li><li>Decomposition-based Multi-objective Evolutionary Algorithm with the ε-Constraint Framework</li><li>Decomposition-based Many-objective Evolutionary Algorithm with the ε-Constraint Framework</li><li>An <i>A Posteriori</i> Decision-making Framework and Subproblems Co-solving Evolutionary Algorithm for Uncertain Optimization</li><li>Noise-Tolerant Techniques for Decomposition-based Multi-objective Evolutionary Algorithms</li><li>The Bi-objective Critical Node Detection Problem with Minimum Pairwise Connectivity and Cost: Theory and Algorithms</li><li>Solving Bi-objective Uncertain Stochastic Resource Allocation Problems by the CVaR-based Risk Measure and Decomposition-based Multi-objective Evolutionary Algorithms</li></ul><br><b>Readership:</b> Researchers and professionals in computer science that specialise or deal with multi-objective optimization and uncertain optimization in decision making, system designing, and scheduling.Algorithm Design;Application of Multi-Objective Uncertain Optimization Approaches;Multi-Objective Optimization;Uncertain Optimization;Combinatorial Optimization;Intelligent/Evolutionary Algorithms0<b>Key Features:</b><ul><li>Algorithm design</li><li>Application of multi-objective uncertain optimization approaches</li></ul>

5782.71 RUR

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Кочан С. Программирование на Objective-C 6-е издание

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Richard Herring Richard Herring's Objective: The Complete Series 1 and 2

Кузин А., Чумакова Е. Основы программирования на языке Objective-C для iOS Учебное пособие

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