Call for Chapters: Emergent Research on the Application of Optimization Algorithms

Call for Chapters

Proposals Submission Deadline: September 30, 2016
Full Chapters Due: January 31, 2017
Submission Date: May 30, 2017


Modern optimization approaches have attracted a growing number of scientists, decision makers and practicing researchers in recent years. In fact, powerful intelligent computational techniques emerged for solving a vast number of complex real-world problems particularly related to the areas of optimization in theory and practice. In the presence of an unpredictable and turbulence environment, classical and traditional approaches are struggling to obtain a holistic solution with greater level of satisfaction for the real-world application problems on optimization. Therefore, new global optimization methodologies are required to handle these issues seriously. One such method are modern optimization techniques as a generic, flexible, robust, and versatile framework for solving complex problems of global optimization and search in real-world applications in economics and engineering.

Game theory serves as a new core perspective of the compendium and text book. It deals with multi-person decision making, in which each decision maker tries to maximize own utility. In such situations, decisions regarding whether (or not) to cooperate within the grand coalition rely on estimations of individual benefits/costs gains importance. Game theory is a mathematical theory dealing with the modeling and the analysis of conflict and cooperation and has broad applicability in Operational Research, economy, modern finance, climate negotiations and policy, environmental management and pollution control, etc.

With this book the editors aim

• to offer a compendium for all researchers who will become able to familiarize with the emerging research subjects that are of common practical and methodological interest for representatives of engineering and economics,
• to provide a dictionary and encyclopedia that will enable scientists and practitioners to quickly access the key notions of their domains and, via suitable methods and references, to advance ahead and to branch further on the way to handle their own and their institutions’ problems and challenges,
• to create an atmosphere in which young researchers can grow when reading the book and develop further towards becoming recognized experiments,
• and initiate a momentum of excitement and encouragement on the way of preparing this book and of reading it later on, that will strongly support interdisciplinary science, the solution of striking real world problems and a creative and fruitful collaboration between experts from all over the world,
• to further introduce IGI as a premium publisher in new regions and Centers of Excellence.

Target Audience

Graduate, Postgraduate students, decision makers and researchers in private sectors, universities, and industries in the field of various sciences, engineering and management such as mathematics/applied mathematics, game theory, physics, chemistry, computer science, management, business, economics and finance 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 will is aimed to become significant and to become very helpful for humankind.

Recommended Topics

– Combinatorial Optimization Methods,
– Dynamic Programming Methods,
– Linear Programming Methods,
– MixedInteger
– 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,
– Game theory, including:
– Noncooperative games,
– Cooperative games,
– Operations Research games,
– Allocation problems,
– Application of game theory on finance,
– Cryptography and game theory,
– Differential games, etc.


– Ant Colony Search Algorithm,
– Artificial Bee Colony Algorithm,
– Artificial Neural Networks,
– BeeHive Algorithm,
– Binary Differential Evolution Algorithm,
– BiogeographyBased Optimization,
– BSnake Algorithm,
– Collaborative Tabu Search and Decomposition Method,
– 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 Neighbourhood Search algorithm (ENSA),
– Fast Snake Algorithm,
– FireFly 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,
– MetaHeuristic Algorithm,
– Particle Swarm Optimization,
– Quantum Inspired Binary PSO,
– Scatter Search Methods,
– Seeded Memetic Algorithm,
– SelfRealized Differential Evolution Algorithm,
– Shuffled Frog Leaping Algorithm,
– Simulated Annealing Methods,
– Simulated Annealing,
– Single and Multivariable Constrained Methods,
– Snake Curve Extraction Algorithm,
– Stochastic Local Search,
– TabuSearch Methods,
– Teaching and LearningBased Optimization,
– Variable Neighborhood Search,
– Waggle Dance Algorithm,


– Financial Economics,
– Portfolio Optimization,
– Stochastic Optimal Control in Finance, Insurance and Economy,
– Production planning,
– Thermo Electric Cooler,
– PluginElectric Vehicle,
– Supply chain management,
– Financial Economics,
– Portfolio Optimization,
– Stochastic Optimal Control in Finance, Insurance and Economy,
– Production planning,
– Supply chain management,
– Climate negotiations and policy,
– Environmental management,
– Pollution control,
– Green technology,
– Smart cities,
– Big data,
– Renewable energy,
– Oil and gas industry,
– Power systems
– Biomedical problems
– Data mining
– Knowledge management
– Petroleum engineering

Submission Procedure

Researchers and practitioners are invited to submit on or before September 30, 2016, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by October 15, 2016 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by January 31, 2017, and all interested authors must consult the guidelines for manuscript submissions at prior to submission. All submitted chapters will be reviewed on a doubleblind 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, Emergent Research on the Application of Optimization Algorithms. All manuscripts are accepted based on a doubleblind peer review editorial process.
All proposals should be submitted through the EEditorial DiscoveryTM online submission manager.


This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the “Information Science Reference” (formerly Idea Group Reference), “Medical Information Science Reference,” “Business Science Reference,” and “Engineering Science Reference” imprints. For additional information regarding the publisher, please visit www.igi-global. com. This publication is anticipated to be released in 2017.

Important Dates

September 30, 2016: Proposal Submission Deadline
October 15, 2016: Notification of Acceptance
January 31, 2017: Full Chapter Submission
March 30, 2017: Review Results Returned
May 15, 2017: Final Acceptance Notification
May 30, 2017: Final Chapter Submission

– Dr. Pandian Vasant (Universiti Teknologi PETRONAS, Malaysia),
– Dr. Sirma Zeynep AlparslanGok (Suleyman Demirel University, Turkey),
– Professor Gerhard Wilhelm Weber (Middlle East Technical University, Turkey)

Propose a chapter for this book