Enabling integration and interaction for decentralized artificial intelligence in airline disruption management

Artificial Intelligence Tools in Health Information Management

Application of ICT in health (eHealth) has become an integral part of modern healthcare systems. Elec‌tronic health information management has proven useful in improving quality of health care, reducing costs and facilitating health research. However, the increasing complexity of healthcare and the growing demand for high quality healthcare delivery has created a need for eHealth systems with t...

Artificial and Computational Intelligence in Games: Integration

This report documents Dagstuhl Seminar 15051 “Artificial and Computational Intelligence in Games: Integration”. The focus of the seminar was on the computational techniques used to create, enhance, and improve the experiences of humans interacting with and within virtual environments. Different researchers in this field have different goals, including developing and testing new AI methods, crea...

Real-time decision support for airline schedule disruption management

This study applied a method of inequality-based multiobjective genetic algorithm (MMGA) for real-time airline schedule disruption management in response to the schedule disruption of short-haul, quick turnaround flights with an environmental consideration. Empirical study based on a real-world airline flight schedule demonstrated that the proposed model can recover a disrupted schedule within a...

Disruption management in the airline industry - Concepts, models and methods

The airline industry is notably one of the success stories with respect to the use of optimization based methods and tools in planning. Both in planning of the assignment of available aircraft to flights and in crew scheduling, these methods play a

Decentralized Code-Share Revenue Management in Airline Alliances