MOAA 2015 - Modern Optimization Algorithms and Applications in Engineering and Economics

Modern Optimization Algorithms and Applications in Engineering and Economics
A book edited by
Pandian Vasant (Petronas University of Technology, Malaysia)
Gerhard-Wilhelm Weber (Institute of Applied Mathematics, Middle East Technical University, Turkey)
Vo Ngoc Dieu (Department of Power Systems, HCMC University of Technology, Vietnam)
The link for authors to upload their full chapters is here: http://www.igi-global.com/submission/submit-chapte....
For release in the Advances in Civil and Industrial Engineering (ACIE)Book Series
ISSN: 2326-6139
The Advances in Civil and Industrial Engineering (ACIE) Book Series aims to present research and methodology that will provide solutions and discussions to meet such needs. The latest methodologies, applications, tools, and analysis will be published through the books included in ACIE in order to keep the available research in civil and industrial engineering as current and timely as possible.
Introduction
Modern optimization approaches have attracted many research scientists, decision makers and practicing researchers in recent years as powerful intelligent computational techniques for solving unlimited numbers of complex real-world problems, particularly related to the research area of optimization. Under the unpredictable and turbulent environment, classical and traditional approaches are struggling to obtain a holistic solution with a greater level of satisfaction for the real world application problems on optimization. Therefore, new global optimization methods are required to handle these issues seriously. One such method is the modern optimization technique, a generic, flexible, robust, and versatile framework for solving complex problems of global optimization and research in real world applications.
Objective of the Book
Modern optimization techniques are robust, less time-consuming, dependable, high quality solutions, and an efficient productive tool for solving the nonlinear real-world problem in engineering, technology, science and economy in an uncertain environment. The modern optimization techniques developed in this book are user-friendly, easy-to-use and can serve as a teaching and research tool, besides being useful for practicing scientists in the areas of engineering, technology and economy. In this book, the editors aim to give a valuable enrichment to state-of-the-art scientific discourse in theory, methods, and applications; to strengthen interdisciplinary ties; and to refresh given and initiate new joint ventures in research and education, for improvements of the industries and economies of the world and for better living conditions and perspectives of its people.
Target Audience
Graduate, Postgraduate students, decision makers and researchers in private sectors, universities, and industries in the fields of various sciences and management, such as mathematics/applied mathematics, physics, chemistry, computer science, management, business, economics and finance, or wherever one wants to model their uncertain practical and real life problems. It is well known that uncertainty is inevitable in every field of engineering, management and science. This book aims to become significant and very helpful for humankind.
Recommended topics include, but are not limited to, the following:
Combinatorial Optimization Methods
Dynamic Programming Methods
Linear Programming Methods
Mixed-Integer Programming Methods
Nonlinear Programming Methods
Optimal Control Methods for ODEs and PDSs
Optimal Control Methods for Stochastic Hybrid Systems
Stochastic Optimal Control Methods
Hybrid Systems
Bio- and Nature-Inspired Methods, including:
Ant Colony Search Algorithm
Artificial Bee Colony Algorithm
Artificial Neural Networks
Bee-Hive Algorithm
Binary Differential Evolution Algorithm
Biogeography-Based Optimization
B-Snake Algorithm
Collaborative Tabu Search and Decomposition Method
Collaborative Tabu search and Simulated Annealing Method
Cuckoo Optimization Algorithm
Cultural algorithms
Differential Evolution
Differential Harmony Search Algorithm
Estimation of Distribution Algorithms
Evolutionary programming Based Tabu Search Method
Evolutionary Strategies and Evolutionary Programming Methods
Extended Neighborhood Search algorithm (ENSA)
Fast Snake Algorithm
Fire-Fly Algorithm
Fuzzy Logic Algorithm
Generalized Reduced Gradient Method
Genetic Algorithm
Gravitational Search Method
Greedy Snake Algorithm
Guided Local Search
Harmony Search Algorithms
Honey Bees Mating Optimization Algorithm
Hopfield Method
Hopfield Neural Networks
Iterated Local Search
Lagrangian Firefly Algorithm
Memetic Algorithm
Meta-Heuristic Algorithm
Particle Swarm Optimization
Quantum-Inspired Binary PSO
Scatter Search Methods
Seeded Memetic Algorithm
Self-Realized Differential Evolution Algorithm
Shuffled Frog Leaping Algorithm
Simulated Annealing Methods
Simulated Annealing
Single and Multivariable Constrained Methods
Snake Curve Extraction Algorithm
Stochastic Local Search
Tabu-Search Methods
Teaching- and Learning-Based Optimization
Variable Neighborhood Search
Waggle Dance Algorithm
Real-World Application problems:
Financial Economics
Portfolio Optimization
Stochastic Optimal Control in Finance, Insurance and Economy
Production planning
Thermo Electric Cooler
Plug-in-Electric Vehicle
Supply chain management
Power System Optimization:
Economic Dispatch
Unit Commitment
Hydrothermal Scheduling
Optimal Power Flow
Optimal Reactive Power Dispatch
Maintenance Scheduling
Optimal Placement of FACTS devices
Optimal Placement of Capacitor
Optimal Placement of Distributed Generations
Optimal Load Shedding
Optimal Spinning Reserve
Available Transfer Capability
Congestion Management
Maximum Loadability
Optimization in Micro Grids and Smart Grids
Maximum Power Point Tracking
Automatic Generation Control
Optimal Designing of Power System Stabilizers
Optimal Load Dispatch
Optimization of Hybrid Energy System
Generation Expansion Planning
Transmission Expansion Planning
Distribution Expansion Planning
Optimal Transmission Switching
Submission Procedure
All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Modern Optimization Algorithms and Applications in Engineering and Economics. All manuscripts are accepted based on a double-blind peer review editorial process.
The link for authors to upload their full chapters is here: http://www.igi-global.com/submission/submit-chapte....
Publisher
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the “Information Science Reference” (formerly Idea Group Reference), “Medical Information Science Reference,” “Business Science Reference,” and “Engineering Science Reference” imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2015.
Important Dates
May 15, 2015: Final Acceptance Notification
May 30, 2015: Final Chapter Submission
Inquiries can be forwarded to
Pandian Vasant
E-mail: pvasant-AT-gmail.com
Gerhard-Wilhelm Weber
Email: gweber-AT-metu.edu.tr
Vo Ngoc Dieu
Email: vndieu-AT-gmail.com
The link for authors to upload their full chapters is here: http://www.igi-global.com/submission/submit-chapte....