A genetic algorithm solves chaotic optimization problems ... the lowest communications energy route within a swarm and simultaneously balances out individual UAV power use, for example, by ...

Our inclusion of skewness and kurtosis makes portfolio optimization a nonlinear, nonconvex and multi-objective problem; this has been solved with the use of a genetic algorithm. Empirical results ...