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Recent Applications in Quantitative Methods and Information Technology (UUM Press)
This book is a guide for researchers who are involved in statistical, mathematical, information technology and decision science analyses. The purpose of the book is to allow readers to get research ideas on a wide range of topics, such as sampling plans, capital budgeting, completion time in production line, searching pattern for mobile cache replacement policy, home security system with biometric finger print and web service technology. The analyses in each chapter are explained in detail with samples of real applications in daily life to assist readers to appreciate theoretical, algorithm and mathematical formulations. Prior to reading this book, readers are advised to have some basic foundation in statistical sampling, tabu search approach, neural network, algorithms, and mathematical formulation. This book will be beneficial to students and researchers who are looking for research topic of the research and how problems can be solved using an applied method.
Quantitative Methods & Their Application in Multidisciplinary Area (UUM Press)
This book is a guide for researchers who are involved in statistical and decision science analyses. Both analyses are explained in detail with samples of real applications in daily life to assist readers to appreciate theoretical and mathematical formulations. It covers a wide variety of applications, including economic issues, i.e., stock markets, quality control in the garment industry, customer satisfaction in the banking industry, experimental design in electronic firms, performance of university web portals, daily fat intake, the optimization of shrimp catching activities, meal planning for nurseries and as well as fairness model in economic games. Understanding
Granular Computing
This book is about Granular Computing (GC) - an emerging conceptual and of information processing. As the name suggests, GC concerns computing paradigm processing of complex information entities - information granules. In essence, information granules arise in the process of abstraction of data and derivation of knowledge from information. Information granules are everywhere. We commonly use granules of time (seconds, months, years). We granulate images; millions of pixels manipulated individually by computers appear to us as granules representing physical objects. In natural language, we operate on the basis of word-granules that become crucial entities used to realize interaction and commu...
Metaheuristics
Combinatorial optimization is the process of finding the best, or optimal, so lution for problems with a discrete set of feasible solutions. Applications arise in numerous settings involving operations management and logistics, such as routing, scheduling, packing, inventory and production management, lo cation, logic, and assignment of resources. The economic impact of combi natorial optimization is profound, affecting sectors as diverse as transporta tion (airlines, trucking, rail, and shipping), forestry, manufacturing, logistics, aerospace, energy (electrical power, petroleum, and natural gas), telecommu nications, biotechnology, financial services, and agriculture. While much progress h...
The Quadratic Assignment Problem
The quadratic assignment problem (QAP) was introduced in 1957 by Koopmans and Beckmann to model a plant location problem. Since then the QAP has been object of numerous investigations by mathematicians, computers scientists, ope- tions researchers and practitioners. Nowadays the QAP is widely considered as a classical combinatorial optimization problem which is (still) attractive from many points of view. In our opinion there are at last three main reasons which make the QAP a popular problem in combinatorial optimization. First, the number of re- life problems which are mathematically modeled by QAPs has been continuously increasing and the variety of the fields they belong to is astonishin...
Ant Colony Optimization
An overview of the rapidly growing field of ant colony optimization that describes theoretical findings, the major algorithms, and current applications. The complex social behaviors of ants have been much studied by science, and computer scientists are now finding that these behavior patterns can provide models for solving difficult combinatorial optimization problems. The attempt to develop algorithms inspired by one aspect of ant behavior, the ability to find what computer scientists would call shortest paths, has become the field of ant colony optimization (ACO), the most successful and widely recognized algorithmic technique based on ant behavior. This book presents an overview of this r...
Bees and Their Role in Forest Livelihoods
This volume provides basic information about managing wild bees and on the use of their products. It identifies and describes major bee species and their importance for nature conservation and for sustaining livelihoods of rural people. Bee products are considered at both subsistence and commercial level, and particular attention is given to the potential for further development of managing wild been species in developing countries. The role of bees for pollination of crops and the impact of managing bees on forestry and farming are presented. Wild-bee keeping techniques, honey production and marketing, and the international trade in been products are described with further references and sources of additional information given. Using this publication, readers will better understand the complexities and opportunities for developing apiculture by rural livelihoods. Also published in French.
Handbook of Heuristics
Heuristics are strategies using readily accessible, loosely applicable information to control problem solving. Algorithms, for example, are a type of heuristic. By contrast, Metaheuristics are methods used to design Heuristics and may coordinate the usage of several Heuristics toward the formulation of a single method. GRASP (Greedy Randomized Adaptive Search Procedures) is an example of a Metaheuristic. To the layman, heuristics may be thought of as ‘rules of thumb’ but despite its imprecision, heuristics is a very rich field that refers to experience-based techniques for problem-solving, learning, and discovery. Any given solution/heuristic is not guaranteed to be optimal but heuristic...
Practice and Theory of Automated Timetabling VI
Complete with online files and updates, this fascinating volume has everything you need to know about the latest developments in automated timetabling. It constitutes the refereed post-proceedings of the 6th International Conference on Practice and Theory of Automated Timetabling, PATAT 2006. The 25 revised full papers are organized in topical sections that cover everything from general issues and employee timetabling, to school and examination timetabling.
Recent Trends in Applied Mathematics
This book presents select proceedings of the International Conference on Applied Mathematics in Science and Engineering (AMSE 2019). Various topics covered include computational fluid dynamics, applications of differential equations in engineering, numerical methods for ODEs and PDEs, mathematical modeling and analysis of biological systems, optimal control and controllability of differential equations, fractional calculus and its applications, nonlinear analysis, and functional analysis. This book will be of interest to researchers, academicians and students in the fields of applied sciences, mathematics and engineering.
