The
2018 IEEE Symposium on Computational Intelligence in Scheduling and
Network Design (IEEE CISND'18) 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.).
The manuscripts should be submitted in PDF format. Click Here to know further guidelines for submission.
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
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
Symposium Co-Chairs
Ruibin Bai
University of Nottingham Ningbo, China
Email: [email protected]
Rong Qu
University of Nottingham, UK
Email: [email protected]
Program Committee
(To be announced)