CFP: IEEE CEC 2019 Special Session on Evolutionary Computation for Service and Cloud Computing

Services computing is becoming more and more prominent in the Internet environment with the rapid growth of services available on the internet. Cloud computing has become a scalable services consumption and delivery platform in the field of Services Computing. This raises issues for service providers such as Web service composition and service location allocation, resource allocation and scheduling, etc. Furthermore, there are multiple potentially conflicting objectives (called Quality-of-Service, QoS) to be considered simultaneously in the problem such as response time, cost, reliability, safety, etc. In the era of cloud computing and Big Data, the number and complexity of Web services on the Internet is increasing rapidly. Traditional service composition approaches have come to a performance bottleneck.

Computational Intelligence (CI) has been successfully applied to many challenging real-world problems. This special session aims to solve the service-oriented computing problems with CI techniques, covering all different evolutionary computation paradigms such as Genetic Algorithms (GAs), Genetic Programming (GP), Evolutionary Programming (EP), Evolution Strategies (ES), Memetic Algorithms (MAs), Learning Classifier Systems (LCS), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Differential Evolution (DE), and Evolutionary Multi-objective Optimization (EMO), as well as neural networks and fuzzy systems.

The scope of this special session includes both new theories and methods on how to solve the challenging services computing and cloud computing problems such as Web service composition and service location allocation more effectively and efficiently. Authors are invited to submit their original and unpublished work to this special session.

Topics of interest include, but not limited to:

• Evolutionary Web service composition
• Evolutionary Web service workflow optimisation
• Evolutionary Web service selection
• Evolutionary Web service location allocation
• Evolutionary Web service scheduling
• Evolutionary semantic Web service composition
• Evolutionary dynamic Web service composition
• Multi-objective Web service composition
• Evolutionary computation for resource allocation in Cloud computing
• Evolutionary computation for workflow management in Cloud
• Evolutionary computation for distributed Web service composition
  • Novel representations and search operators for Service-oriented computing
  • Cooperative coevolution for Service-oriented computing
  • Evolutionary computation for Big Data As A Service
  • Evolutionary computation for Internet of Things Services
  • Hybrid algorithms between EC, neural networks and fuzzy systems for service-oriented computing

Submission Guideline:

Please follow the submission guideline from the IEEE CEC2019 Submission Web Site. Special session papers are treated the same as regular conference papers. Please specify that your paper is for the Special Session on Evolutionary Computation for Service-Oriented Computing. All papers accepted and presented at CEC2019 will be included in the conference proceedings published by IEEE Explore, which are typically indexed by EI.

Important Dates:

• 7 January 2019, Deadline for submission of full papers
• 7 March 2019, Notification of acceptance
• 31 March 2019, Deadline for Final paper submission

Special Session Organizers:

• Dr. Hui Ma, Victoria University of Wellington, New Zealand (hui.ma@ecs.vuw.ac.nz)
• Dr. Yi Mei, Victoria University of Wellington, New Zealand (yi.mei@ecs.vuw.ac.nz)
• Prof. Mengjie Zhang, Victoria University of Wellington, New Zealand (Mengjie.Zhang@ecs.vuw.ac.nz)