Congratulations to HOWS postdoc, Matt Johns who has had his paper entitled “Knowledge Based Multi Objective Genetic Algorithms for the Design of Water Distribution Networks” accepted to the Journal of Hydroinformatics.

Research from the HOWS project was presented as part of a keynote talk delivered by Professor Ed Keedwell at the 14th International Conference on Artificial Evolution 2019 in Mulhouse, France.  The talk focused on the development of heuristics and interactive evolution work from the HOWS project in addition to work on hyperheuristics.

Congratulations to the HOWS project team who have had their work accepted for CCWI 2019 (https://www.ccwi-2019.com/) later this year.  The conference, that brings together researchers and practitioners in the water industry, will be held at the University of Exeter in September 2019 and the team will present two papers relating to the HOWS project:

A Diameter Probability Distribution Genetic Algorithm for Least-cost Water Distribution Network Design

and

Generalising Human Heuristics In Augmented Evolutionary Water Distribution Network Design Optimization

See you there!

Researchers from the HOWS project showcased the Augmented Evolutionary Intelligence system yesterday at an event at Exeter University discussing the latest research and industry innovation in Digital Twins.  The system combines virtual reality, machine learning and evolutionary computation to leverage the power of human intuition and AI working together to solve engineering problems.

We are pleased to announced that our paper entitled Human-Evolutionary Problem Solving through Gamification of a Bin-Packing Problem has been accepted to the iGECCO Workshop at the Genetic and Evolutionary Computation Conference (GECCO 2019) in Prague, Czech Republic in July 2019.  The paper describes recent work on human-AI interaction through a game interface to optimise the well known operations research problem of bin-packing.

We are pleased to announced that our paper entitled Augmented Evolutionary Intelligence: Combining Human and Evolutionary Design for Water Distribution Network Optimisation has been accepted to the Genetic and Evolutionary Computation Conference (GECCO 2019) in Prague, Czech Republic in July 2019.  The paper describes recent work on the HOWS project combining user interaction, machine learning and evolutionary algorithms to improve the way that water network optimisation is conducted.