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Algorithms --- Combinatorial optimization --- Programming (Mathematics) --- Evolutionary computation

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Describes several generic algorithmic concepts that can be used in various kinds of GA or with evolutionary optimization techniques. This title provides a better understanding of the basic workflow of GAs and GP, encouraging readers to establish new bionic, problem-independent theoretical concepts.

Algorithms. --- Combinatorial optimization. --- Programming (Mathematics) --- Evolutionary computation.

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"Online decision making under uncertainty and time constraints represents one of the most challenging problems for robust intelligent agents. In an increasingly dynamic, interconnected, and real-time world, intelligent systems must adapt dynamically to uncertainties, update existing plans to accommodate new requests and events, and produce high-quality decisions under severe time constraints. Such online decision-making applications are becoming increasingly common: ambulance dispatching and emergency city-evacuation routing, for example, are inherently online decision-making problems; other applications include packet scheduling for Internet communications and reservation systems. This book presents a novel framework, online stochastic optimization, to address this challenge. This framework assumes that the distribution of future requests, or an approximation thereof, is available for sampling, as is the case in many applications that make either historical data or predictive models available. It assumes additionally that the distribution of future requests is independent of current decisions, which is also the case in a variety of applications and holds significant computational advantages. The book presents several online stochastic algorithms implementing the framework, provides performance guarantees, and demonstrates a variety of applications. It discusses how to relax some of the assumptions in using historical sampling and machine learning and analyzes different underlying algorithmic problems. And finally, the book discusses the framework's possible limitations and suggests directions for future research."--Publisher's website.

Stochastic processes --- Combinatorial optimization --- Online algorithms --- Operations research --- Processus stochastiques --- Optimisation combinatoire --- Recherche opérationnelle --- Stochastic processes. --- Combinatorial optimization. --- Online algorithms. --- Operations research. --- 681.3*G13 --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Computer algorithms --- Online data processing --- Optimization, Combinatorial --- Combinatorial analysis --- Mathematical optimization --- Random processes --- Probabilities --- Numerical linear algebra: conditioning; determinants; eigenvalues and eigenvectors; error analysis; linear systems; matrix inversion; pseudoinverses; singular value decomposition; sparse, structured, and very large systems (direct and iterative methods) --- COMPUTER SCIENCE/General

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Service science is an emerging field, but many still consider it lacking in substance. This book aims to change the situation by addressing the following questions: What is the big story about service? What are the main research problems in service? What does "a connected world" mean? Does service require a different kind of design science? What will be the next waves of the Web? How to support universal value co-creation? How to unite Cyberspace wilt physical space? Is it feasible to connect information resources everywhere? To answer these questions, the book presents and substantiates a dig

Multidisciplinary design optimization --- Engineering services marketing --- Service industries --- System design --- Design, System --- Systems design --- Electronic data processing --- System analysis --- Industries --- Design services --- Sales promotion --- Design optimization, Multidisciplinary --- Multicriteria design optimization --- Multidisciplinary optimization (Engineering design) --- Combinatorial optimization --- Engineering design --- Design --- Information resources --- Marketing --- E-books --- Multidisciplinary design optimization. --- Engineering services marketing. --- Design. --- Information resources. --- Applied marketing

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Metaheuristics: Intelligent Problem Solving Marco Caserta and Stefan Voß Just MIP it! Matteo Fischetti, Andrea Lodi, and Domenico Salvagnin MetaBoosting: Enhancing Integer Programming Techniques by Metaheuristics Jakob Puchinger, Günther R. Raidl, and Sandro Pirkwieser Usage of Exact Algorithms to Enhance Stochastic Local Search Algorithms Irina Dumitrescu and Thomas Stützle Decomposition Techniques as Metaheuristic Frameworks Marco Boschetti, Vittorio Maniezzo, and Matteo Roffilli Convergence Analysis of Metaheuristics Walter J. Gutjahr MIP-based GRASP and Genetic Algorithm for Balancing Transfer Lines Alexandre Dolgui, Anton Eremeev, and Olga Guschinskaya (Meta-)Heuristic Separation of Jump Cuts in a Branch & Cut Approach for the Bounded Diameter Minimum Spanning Tree Problem Martin Gruber and Günther R. Raidl A Good Recipe for Solving MINLPs Leo Liberti, Giacomo Nannicini, and Nenad Mladenovic Variable Intensity Local Search Snežana Mitrovic-Minic and Abraham P. Punnen A Hybrid Tabu Search for the m-Peripatetic Vehicle Routing Problem Sandra Ulrich Ngueveu, Christian Prins, and Roberto Wolfer Calvo.

Combinatorial optimization. --- Heuristic programming. --- Programming (Mathematics). --- Programming (Mathematics) --- Heuristic programming --- Combinatorial optimization --- Management Theory --- Operations Research --- Management --- Civil & Environmental Engineering --- Business & Economics --- Engineering & Applied Sciences --- Mathematical programming --- Goal programming --- Optimization, Combinatorial --- Data processing. --- Business. --- Operations research. --- Decision making. --- Information technology. --- Business --- Mathematical optimization. --- Management science. --- Economic theory. --- Econometrics. --- Business and Management. --- Operation Research/Decision Theory. --- Optimization. --- IT in Business. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Operations Research, Management Science. --- Combinatorial analysis --- Mathematical optimization --- Algorithms --- Functional equations --- Operations research --- Business information services. --- Operations Research and Decision Theory. --- Quantitative Economics. --- Operations Research, Management Science . --- Quantitative business analysis --- Problem solving --- Statistical decision --- Business enterprises --- Information services --- Economics, Mathematical --- Statistics --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Simulation methods --- System analysis --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory