Call for Chapters
Optimization Techniques for Problem Solving in Uncertainty
You are cordially invited to contribute to the upcoming book ‘Optimization Techniques for Problems in Uncertainty’ in the ‘Advances in Computational Intelligence and Robotics (ACIR)’ book series in IGI Global publisher.
Optimization problems appear in different disciplines and applications. It often involves uncertain aspects. Based on the availability of information a decision making problem or an optimization problem can broadly be categorized as a deterministic and a non-deterministic problem. Most real models involve uncertainty or lack some information. If the available information is sufficiently enough to construct a probability distribution function, the problem can possible be dealt with stochastic approaches or fuzzy theory with the appropriate membership function constructed from the partial information. However, in some cases the available information may not be enough to construct either a probability distribution or a membership function. In such cases grey theory can be used to quantify the uncertain aspects.
The book is devoted to recent developments, reviews and tutorials of decision making or optimization under uncertainty. Different models ranging from stochastic to grey and their connection will be outlines with highlighting possible future works along with applications on real case problems.
The target audience of the book includes professionals who work in decision making, policy designing, mathematics, theoretical computer science and similar areas. It can be useful for graduate students and anyone else who want to do a research on the field. In addition, it can be useful for practitioners in different organizations and policy making bodies.
Recommended topics includes, but not limited to:
- Stochastic optimization
- Fuzzy optimization
- Grey optimization
- Uncertain preference
- Fuzzy multiobjective optimization
- Grey multiobjective optimization
- Stochastic multiobjective optimization
- Fuzzy multilevel programming
- Grey multilevel programming
- Stochastic multilevel programming
- Metaheuristic
- Hyperheuristic
- Applications
Important Dates
April 30, 2017: Proposal Submission Deadline
May 15, 2017: Notification of Acceptance
June 30, 2017: Full Chapter Submission
August 15, 2017: Review Results Returned
September 30, 2017: Final Acceptance Notification
October 30, 2017: Final Chapter Submission


Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Trust in Knowledge Management and Systems in Organizations. All manuscripts are accepted based on a double-blind peer review editorial process.
All proposals should be submitted through the E-Editorial DiscoveryTM online submission manager.
More information can be accessed from the editors listed below or from the following website
http://www.igi-global.com/publish/call-for-papers/call-details/2532
Editors: Surafel Luleseged Tilahun and Jean Medard T. Ngnotchouye
School of Mathematics, Statistics and Computer Science
University of KwaZulu-Natal
South Africa
surafelaau@yahoo.com
ngnotchouye@ukzn.ac.za