CISND 2017 - 2017 IEEE Symposium on Computational Intelligence in Scheduling and Network Design (IEEE CISND'17)
Topics/Call fo Papers
The 2017 IEEE Symposium on Computational Intelligence in Scheduling and Network Design (IEEE CISND'17) 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.).
Topics
This symposium aims to explore recent advances in this area. Topics include, but are not limited to, the following:
Transportation Network Optimisation
Communication Network Optimisation
Generate Network Design Problems
Supply Chain Optimisation
Production Scheduling
Personnel Scheduling
Sports Scheduling
Educational Timetabling
Commercial Scheduling Packages
Transport Scheduling
Other scheduling problems
Complexity Analyses in Scheduling
Complexity Analyses in Network Design Problems
Comparative Studies (e.g. compare Neural Networks with Fuzzy Logic; comparison of a meta-heuristic approach with a CI approaches)
Interactive Scheduling using Computational Intelligence
Experiences of CI within Scheduling
Case Studies in Scheduling and Network Design
Theoretical or empirical analysis of algorithms and representations for scheduling and network design
Topics
This symposium aims to explore recent advances in this area. Topics include, but are not limited to, the following:
Transportation Network Optimisation
Communication Network Optimisation
Generate Network Design Problems
Supply Chain Optimisation
Production Scheduling
Personnel Scheduling
Sports Scheduling
Educational Timetabling
Commercial Scheduling Packages
Transport Scheduling
Other scheduling problems
Complexity Analyses in Scheduling
Complexity Analyses in Network Design Problems
Comparative Studies (e.g. compare Neural Networks with Fuzzy Logic; comparison of a meta-heuristic approach with a CI approaches)
Interactive Scheduling using Computational Intelligence
Experiences of CI within Scheduling
Case Studies in Scheduling and Network Design
Theoretical or empirical analysis of algorithms and representations for scheduling and network design
Other CFPs
- 2017 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (IEEE CIVTS' 17)
- 2017 IEEE Symposium on Computational Intelligence for Wireless Systems (IEEE CIWS' 17)
- 2017 IEEE Symposium on Deep Learning (IEEE DL'17)
- 2017 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS 2017)
- 2017 IEEE Symposium on Computational Intelligence in Feature Analysis, Selection, and Learning in Image and Pattern Recognition (IEEE FASLIP'17)
Last modified: 2017-07-19 16:34:28