2019 IEEE Symposium Series on Computational Intelligence


IEEE Symposium Series on Computational Intelligence

December 6-9, 2019 Xiamen, China

 

IEEE Symposium on Computational Intelligence in Scheduling and Network Design (IEEE CISND)

The 2019 IEEE Symposium on Computational Intelligence in Scheduling and Network Design (IEEE CISND'19) invites research on all aspects of computational intelligence applied to scheduling and network design problems. Due to their huge search spaces that have to be explored, scheduling and network problems cannot usually be solved by exact approaches. Therefore, significant research attention has been attracted on exploring techniques in Computational Intelligence (including evolutionary computation, neural networks, swarm intelligence, fuzzy logic, and their hybridisations with classic integer programming techniques like branch and bound, column generations, branch and pricing, etc.). This symposium aims to explore recent advances in this area.

Topics

Topics include, but are not limited to, the following:

  • Combinatorial Optimisation Problems
  • Machine Learning and Optimisation in Scheduling
  • Machine Learning and Optimisation in Network Design
  • Production Scheduling
  • Personnel Scheduling
  • Healthcare Scheduling
  • Vehicle Routing
  • Sports Scheduling
  • Transportation Network Optimisation
  • Communication Network Optimisation
  • Service Network Design Problems
  • Supply Chain Optimisation
  • Educational Timetabling
  • Other Scheduling Problems
  • In-depth Experimental Analysis and Comparisons Between Different Techniques
  • Hybrid Methods (e.g. memetic computing, matheuristics, hyperheuristics)
  • Meta-analytics and Search Space Landscape Analyses
  • Automated Design of Metaheuristics
  • Complexity Analyses in Scheduling
  • Complexity Analyses in Network Design Problems
  • Interactive Scheduling using Computational Intelligence
  • Experiences of CI within Scheduling
  • Case Studies in Scheduling and Network Design

Symposium Chairs

Ruibin Bai

The University of Nottingham Ningbo, China

Email: ruibin.bai@nottingham.ac.uk

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Rong Qu

The University of Nottingham, UK

Email: rong.qu@nottingham.ac.uk

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Ben Niu

Shenzhen University, China

Email: nb@szu.edu.cn

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