Evolutionary and Bio-Inspired Computational Techniques within Real-World Industrial and Commercial Environments.
Due to a large number of request for late submissions, the EvoStar submission sites will stay open until this Tuesday 15 November 23:59:59 SST, after which no further submissions will be accepted. Authors who have already submitted, can update their work until this time.
The recipients of the "EvoAPPLICATIONS Best Paper Awards" will be
invited to submit an extended version of their works to a special
issue of Memetic Computing.
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
- Neil Urquhart, Edinburgh Napier University, United Kingdom, n.urquhart(at)napier.ac.uk
- Kevin Sim, Edinburgh Napier University, United Kingdom, firstname.lastname@example.org