IDEA (Innovation, Decision, Environment, Awareness) Research Transfer is a spin-off company of Technical University of Bari created to transfer technology and innovative tools for analysis and decision support from research to complex systems in civil engineering in order to raise awareness of management decisions in terms of effectiveness, efficiency and sustainability.
The technology transfer paradigm of IDEA Research Transfer is based on developing advanced tools in a high-level programming environment and deploying them as simple functions in software environments familiar to technicians (e.g. Excel of Microsoft Office®). This permits to quickly develop, update, test and customize analysis and decision support tools to be used in specific applications in close cooperation with end users. This realizes a dynamic and real-time transfer of the scientific research to the technical field.
IDEA Research Transfer provides:
- Scientific and technical advice for the analysis and decision support in civil engineering through innovative tools developed by the company, also integrated with other systems
- Training of users in developing and using innovative tools by organizing workshops, webinars and conferences oriented to researchers’ training or professional training
- Customized solutions and training of professionals on advanced tools for data analysis and decision support systems in civil engineering

 

WDNetXL 
WDNetGIS 
EPR MOGA-XL 
ANN MOGA-XL 

ANN MOGA (ANNs by Multi-Objective Genetic Algorithm) is a tool developed on the homonymous modelling methodology based on the ANNs paradigm [Giustolisi and Simeone (2006)]. The tool employs a particular structure of ANN named the Input-Output Neural Network (IONN). In particular, it is based on a MOGA approach for construction of IONN models, which prevents potential overfitting troubles caused by poor generalization capabilities of the identified ANNs [Giustolisi and Laucelli (2005)]. This can be obtained by minimizing the model’s input dimension and the number of hidden neurons (flexibility) while preserving fitness properties.

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