The system integrates sea water current forecasts, sensor range models and simple drifting buoy kinematic models to predict sensor positions and temporal ...

Mar 13, 2022 · In [8] an evolutionary multi-objective optimization algorithm (AGMA2) has been used to compute the optimal deployment locations of sonobuoys, ...

The system integrates sea water current forecasts, sensor range models and simple drifting buoy kinematic models to predict sensor positions and temporal ...

The system integrates sea water current forecasts, sensor range models and simple drifting buoy kinematic models to predict sensor positions and temporal ...

A decision support system for optimal deployment of sonobuoy networks based on sea current forecasts and multi-objective evolutionary optimization. Expert ...

A decision support system for optimal deployment of sonobuoy networks based on sea current forecasts and multi-objective evolutionary optimization · R. Grasso ...

Nov 9, 2022 · This paper presents a new approach to finding optimal patterns for the placement of fields of sonobuoys in a complex undersea environment.

First of all, it is able to reduce the cognitive burdens on the mission planner to analyze for instance sea current forecasts, in space and time, and to guess ...

A decision support system for optimal deployment of sonobuoy networks based on sea current forecasts and multi-objective evolutionary optimization · Raffaele ...

A decision support system for optimal deployment of sonobuoy networks based on sea current forecasts and multi-objective evolutionary optimization · R. Grasso ...