CEC 2018 Special Session

IEEE International Conference on Evolutionary Computation

Rio de Janeiro, Brazil, July 8-13, 2018

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

 

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