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Weighted strategies to guide a multi-objective evolutionary algorithm for multi-UAV mission planning
The main objective of this work is to reduce the convergence rate of the MOEA solver for multi-UAV mission planning using weighted random strategies that focus the search on potentially better regions of the solution space.
A revision on Multi-Criteria Decision Making methods for Multi-UAV Mission Planning Support
In this work, a DSS consisting of ranking and filtering systems, which order and reduce the optimal solutions, has been designed.
Constrained multi-objective optimization for multi-UAV planning
Over the last decade, developments in unmanned aerial vehicles (UAVs) has greatly increased, and they are being used in many fields including surveillance, crisis management or automated mission planning.
Solving Complex Multi-UAV Mission Planning Problems using Multi-objective Genetic Algorithms
Mission Planning for UAVs is the process of planning the locations and actions (loading/dropping a load, taking videos/pictures, acquiring information) for the vehicles, typically over a time period.
sKPNSGA-II: Knee point based MOEA with self-adaptive angle for Mission Planning Problems
Nevertheless, some problems have many objectives which lead to a large number of non-dominated solutions obtained by the optimization algorithms.
