Special Session on Real-World and Industry Applications of Evolutionary Computation

CEC 2018 Special Session
IEEE International Conference on Evolutionary Computation
Rio de Janeiro, Brazil, July 8-13, 2018

During the last three decades, evolutionary computation (EC) has been widely used for solving complex real-world problems. These techniques are getting popular these days for business, management, and design optimization as they are commonly deal with complex problems without explicit formula. The main focus of this special session would be on the EC techniques applications to complex real-world problems.

Scope and Topics

Management, Scheduling, design, maintenance and monitoring real-world and industrial systems, such as factories and companies, are challenging issues and involve several constraints. In order to find a practical solution, most real-world problems should be formulated as discrete or mixed variable optimization problems. Furthermore, finding efficient and lower cost procedures for frequent use of the system is crucially important. Mining and interpretation of the response data are other major issues that need advanced computation. Stochastic nature of most real-world systems (e.g. stock market) make these analyses even more complex. While several solutions are proposed to tackle the issues mentioned above, there is still a serious need for more cost-effective approaches. Due to their complexity, the real-world problems are difficult to solve using derivative-based and local optimization algorithm. A viable solution to cope with this limitation is to employ global optimization algorithms, such as the EC techniques. In the recent past, EC and its branches have been used to solve complex real-world problems that cannot be solved using conventional methods. The other important issue is that several aspects can be considered to optimize systems simultaneously such as time, cost, quality, risk, etc. Therefore, more than one objective should usually be considered for optimizing a real-world system. This is while there are usually conflicts between the considered objectives, such as cost-quality. In this case, the multi-objective optimization concept offers major advantages over the traditional mathematical algorithms. More specifically, evolutionary multi-objective optimization (EMO) is known as a reliable way to handle these problems in the industrial domain.

This special session strives to gather the latest development of EC applications in real-world systems. On this basis, this special session includes key applications of EC on different disciplines such as business, management, engineering optimization, etc. Topics to be included are evolutionary optimization and multi-objective algorithms, as well as evolutionary (big) data mining algorithms. The methods of interest in real-world domains include (but not limited to):

Operation management
Planning and Scheduling problem
Maintenance and Monitoring optimization
Design optimization (topology, configuration, etc.)
Optimizing transportation systems
Stock market prediction
Portfolio Optimization
Layout problem
Simulation optimization (grey/black box problems)
Large-scale real-world systems
Multi and many objective real-world problems
Expensive real-world problem (limited budget)
Surrogate-assisted systems
Highly constrained problems
Embedding knowledge
Robust real-world optimization
Probabilistic real-world optimization
Bi-level real-world optimization
real-world (big) data mining
Uncertain and noisy systems
Important Dates

15th January 2018 – Paper Submission
15th March 2018 – Paper Acceptance
1st May 2018 – Final Paper Submission
Paper Submission

Papers must be submitted through the IEEE CEC 2018 online submission system. For this special session, please select “Real-World and Industry Applications of Evolutionary Computation” title under the list of the main research topic in the submission system.

Organizers

Amir H Gandomi – Stevens Institute of Technology, NJ, USA
Mohammad Nabi Omidvar – University of Birmingham, UK
Kalyanmoy Deb – Michigan State University, MI, USA


Program Committee

Mohammad-R Akbarzadeh-T, Ferdowsi University of Mashhad
Amir H. Alavi, University of Missouri
Simon James Fong, University of Macau
Saeed Gholizadeh, Urmia University
Thomas Hanne, University of Applied Sciences and Arts Northwestern
Ali Kaveh, Iran University of Science & Technology
Nikos D. Lagaros, National Technical University Athens
Szymon Lukasik, AGH University of Science and Technology
Krzysztof Michalak, Wroclaw University of Economics
Ali Mirjalili, Griffith University
Jonas Schwaab, ETH Zurich
Siamak Talatahari, University of Tabriz
Gregorio Toscano Pulido, CINVESTAV-IPN