EvoINDUSTRY 2017 - Evolutionary and Bio-Inspired Computational Techniques within Real-World Industrial and Commercial Environments
Date2017-04-19 - 2017-04-21
Deadline2016-11-01
VenueAmsterdam, Netherlands, The
Keywords
Websitehttps://www.evostar.org/2017
Topics/Call fo Papers
Evolutionary and Bio-Inspired Computation has established itself as a powerful technique for design, search and optimisation with applications in areas such as routing, scheduling, timetabling and planning. There are a number of challenges in moving from academic research to use within industrial environments, these challenges are not only technical, but may also encompass issues such as user interaction and adoption within organisations. EvoIndustry seeks contributions from researchers, developers and industrialists who have utilised Evolutionary Computation within an industrial context. Topics of interest include (but are not limited to):
Case studies on the adoption of Evolutionary Computation within organisations, examining hard and soft issues
Hybrid methods and novel heuristics developed to solve specific problems
The handling of real-world soft constraints
The construction of user interfaces to allow non-experts to use evolutionary based techniques
Organisation, resource and workforce scheduling
Scheduling and planning in industrial environments including production planning, transportation and distribution
Case studies on the adoption of Evolutionary Computation within organisations, examining hard and soft issues
Hybrid methods and novel heuristics developed to solve specific problems
The handling of real-world soft constraints
The construction of user interfaces to allow non-experts to use evolutionary based techniques
Organisation, resource and workforce scheduling
Scheduling and planning in industrial environments including production planning, transportation and distribution
Other CFPs
- 2017 Bio-inspired Algorithms for Continuous Parameter Optimisation
- 2017 Parallel Architectures and Distributed Infrastructures
- 2017 Computational Intelligence for Risk Management, Security and Defence Applications
- 2017 Evolutionary Computation in Robotics
- Evolutionary Algorithms and Meta-heuristics in Stochastic and Dynamic Environments
Last modified: 2016-08-06 22:51:16