Optimization

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 book contains expanded versions of the talks given at the conference held in honour of professor Ky Fan in California in 1985, as well as papers on nonlinear and convex analysis as contributions to Ky Fan.

This book contains expanded versions of the talks given at the conference held in honour of professor Ky Fan in California in 1985, as well as papers on nonlinear and convex analysis as contributions to Ky Fan.

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.

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

This book is the first organized collection of some results that have been obtained by the authors, their collaborators, and other researchers in the variational approach to structured deformations.

This book provides a general treatment of a class of functionals modelled on convolution energies with kernel having finite p-moments.

This book is the first organized collection of some results that have been obtained by the authors, their collaborators, and other researchers in the variational approach to structured deformations.

This book discusses all aspects of money laundering, starting from traditional approach to financial crimes to artificial intelligence-enabled solutions.

This book introduces the advances in synchromodal logistics and provides a framework to classify various optimisation problems in this field.

Commissioned by the Society for Modeling and Simulation International (SCS), this needed, useful new 'Body of Knowledge' (BoK) collects and organizes the common understanding of a wide collection of professionals and professional associations.

This book is designed to be an introductory course to some basic chapters of Advanced Mathematics for Engineering and Physics students, researchers in different branches of Applied Mathematics and anyone wanting to improve their mathematical knowledge by a clear, live, self-contained and motivated text.

This book pursues the ambitious goal of combining floating wind turbine design optimization and reliability assessment, which has in fact not been done before.

This proceedings volume, the fifth in a series from the Combinatorial and Additive Number Theory (CANT) conferences, is based on talks from the 19th annual workshop, held online due to the COVID-19 pandemic.

This book aims at improving the mathematical modelling skills of users by enhancing the ability to understand, connect, apply and use the mathematical concepts to the problem at hand.

This book provides a general treatment of a class of functionals modelled on convolution energies with kernel having finite p-moments.

Written by leading scholars from various disciplines, this book presents current research on topics such as public choice, game theory, and political economy.

The book covers several new research findings in the area of generalized convexity and integral inequalities.

Stochastic Structural Optimization presents a comprehensive picture of robust design optimization of structures, focused on nonparametric stochastic-based methodologies.

In this book, a risk management approach starts off by discussing important issues related to managing supply chain disruption risks from various perspectives during VUCA times.

This book provides fundamental concepts related to various types of genetic algorithms and practical applications in various domains such as medical imaging, manufacturing, and engineering design.

This book provides fundamental concepts related to various types of genetic algorithms and practical applications in various domains such as medical imaging, manufacturing, and engineering design.

The book comprises original articles on topical issues of risk theory, rational decision making, statistical decisions, and control of stochastic systems.

This book presents a new search paradigm for solving the Traveling Salesman Problem (TSP).

This book presents a new search paradigm for solving the Traveling Salesman Problem (TSP).

This book develops the concepts of fundamental convex analysis and optimization by using advanced calculus and real analysis.

This book gathers selected high-quality papers presented at the 31st European Conference on Operational Research, which was held in Athens, Greece on June 11-14, 2021.

This book gathers selected high-quality papers presented at the 31st European Conference on Operational Research, which was held in Athens, Greece on June 11-14, 2021.

Stochastic Structural Optimization presents a comprehensive picture of robust design optimization of structures, focused on nonparametric stochastic-based methodologies.

The book addresses optimization in the petroleum industry from a practical, large-scale-application-oriented point of view.

The book addresses optimization in the petroleum industry from a practical, large-scale-application-oriented point of view.