Optimization

This book presents the latest researches on hypersonic steady glide dynamics and guidance, including the concept of steady glide reentry trajectory and the stability of its regular perturbation solutions, trajectory damping control technique for hypersonic glide reentry, singular perturbation guidance of hypersonic glide reentry, trajectory optimization based on steady glide, linear pseudospectral generalized nominal effort miss distance guidance, analytical entry guidance and trajectory-shaping guidance with final speed and load factor constraints.

This book introduces several mathematical models in assembly line balancing based on stochastic programming and develops exact and heuristic methods to solve them.

This book deals with several types of multi-dimensional control problems in the face of data uncertainty for vector cases-multi-dimensional multi-objective control problem with uncertain objective functionals, uncertain constraint functionals, and uncertain objective as well as constraint functionals, uncertain multi-dimensional multi-objective control problem with semi-infinite constraints, uncertain dual multi-dimensional multi-objective variational control problem, and second-order PDE&PDI constrained robust optimization problem.

This book gravitates on the prominent theories and recent developments of swarm intelligence methods, and their application in both synthetic and real-world optimization problems.

The first volume, Geometry, Language and Strategy, extended the concepts of Game Theory, replacing static equilibrium with a deterministic dynamic theory.

This book develops the central aspect of fixed point theory - the topological fixed point index - to maximal generality, emphasizing correspondences and other aspects of the theory that are of special interest to economics.

This book focuses on the design of decentralized optimization methods applied to charging strategies for large-scale PEVs in electrical power systems.

This book discusses recent developments in mathematical programming and game theory, and the application of several mathematical models to problems in finance, games, economics and graph theory.

This book investigates two types of static multi-fidelity surrogates modeling approaches, sequential multi-fidelity surrogates modeling approaches, the multi-fidelity surrogates-assisted efficient global optimization, reliability analysis, robust design optimization, and evolutionary optimization.

This book collects chapters on fixed-point theory and fractional calculus and their applications in science and engineering.

This volume collects almost two decades of joint work of Sergiu Hart and Andreu Mas-Colell on game dynamics and equilibria.

This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field.

The book discusses advantages of the firefly algorithm over other well-known metaheuristic algorithms in various engineering studies.

This book covers various topics regarding the design of compliant mechanisms using topology optimization that have attracted a great deal of attention in recent decades.

This book presents a wide range of optimization methods and their applications to various electrical power system problems such as economical load dispatch, demand supply management in microgrids, levelized energy pricing, load frequency control and congestion management, and reactive power management in radial distribution systems.

Machine learning heavily relies on optimization algorithms to solve its learning models.

This textbook covers microeconomic theory at the level of intermediate and advanced undergraduates.

This book collects chapters on contemporary topics on metric fixed point theory and its applications in science, engineering, fractals, and behavioral sciences.

This book presents a comprehensive analysis of tax consequences in an oligopolistic market.

This book explores various renewal processes in the context of probability theory, uncertainty theory and chance theory.

This book is devoted to the study of classes of optimal control problems arising in economic growth theory, related to the Robinson-Solow-Srinivasan (RSS) model.

This book discusses imaginary future generations and how current decision-making will influence those future generations.

This book provides the fundamental theory of distributed optimization, game and learning.

This book describes the interplay of mechanics, electronics, electrotechnics, automation and biomechanics.

This is the first book to comprehensively examine the asymptotic behavior of dynamic monopolies, duopolies, and oligopolies where firms face information and implementation delays.

This book provides a contemporary treatment of quantitative economics, with a focus on data science.

This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data.

This book presents essential concepts of traditional Flower Pollination Algorithm (FPA) and its recent variants and also its application to find optimal solution for a variety of real-world engineering and medical problems.

This book illuminates the fundamental principle and applications of probability-based multi-objective optimization for material selection systematically, in which a brand new concept of preferable probability and its assessment as well as other treatments are introduced by authors for the first time.

This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines.

This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/Hinfinity theory-based approaches and contemporary stochastic optimization techniques.

This book provides an in-depth analysis of the current evolutionary clustering techniques.

This book reports on the latest advances in adaptive critic control with robust stabilization for uncertain nonlinear systems.

This book addresses higher-lower level decision autonomy for autonomous vehicles, and discusses the addition of a novel architecture to cover both levels.

This book introduces research presented at the "e;International Conference on Artificial Intelligence: Advances and Applications-2019 (ICAIAA 2019),"e; a two-day conference and workshop bringing together leading academicians, researchers as well as students to share their experiences and findings on all aspects of engineering applications of artificial intelligence.

This book develops the concepts of various unique optimization techniques in the crisp and fuzzy environment.

Discrete event systems (DES) have become pervasive in our daily lives.

In this richly illustrated book, Dr Jorma Kyppo explores the history of board games dating back to Ancient Egypt, Mesopotamia, India and China.

This book stems from lectures that were delivered at the three-week Advanced Instructional School on Ergodic Theory and Dynamical Systems held at the Indian Institute of Technology Delhi, from 4-23 December 2017, with the support of the National Centre for Mathematics, National Board for Higher Mathematics, Department of Atomic Energy, Government of India.

This book introduces readers to the background, general framework, main operators, and other basic characteristics of biogeography-based optimization (BBO), which is an emerging branch of bio-inspired computation.

This book focuses on the latest advances in nonlinear dynamic modeling in economics and finance, mainly-but not solely-based on the description of strategic interaction by using concepts and methods from dynamic and evolutionary game theory.

This volume contains eight papers written by Adam Brandenburger and his co-authors over a period of 25 years.

This book describes concepts and tools needed for water resources management, including methods for modeling, simulation, optimization, big data analysis, data mining, remote sensing, geographical information system, game theory, conflict resolution, System dynamics, agent-based models, multiobjective, multicriteria, and multiattribute decision making and risk and uncertainty analysis, for better and sustainable management of water resources and consumption, thus mitigating the present and future global water shortage crisis.

Combinational optimization (CO) is a topic in applied mathematics, decision science and computer science that consists of finding the best solution from a non-exhaustive search.

This book provides the current status of research on the application of OR methods to solve emerging and relevant operations management problems.

The Video Games Textbook takes the history of video games to the next level.

This unique book presents decision analysis in the context of mathematical modeling and game theory.

Master the design and operation of perfusion cell cultures with this authoritative reference.

This new edition is unparalleled in breadth of coverage, thoroughness of technical explanations and number of worked examples.

A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.