Actuator placement optimisation using a genetic algorithm ENGR407 By Calum Randle Contents Context • Active noise control (ANC) is the reduction of noise within an environment using an out of phase sound wave known as anti-noise. • Anti-noise is generated using an algorithm within the digital signal processing (DSP) board. • The anti-noise is then sent through speakers to attenuate the noise Optimisation • To allow the best noise attenuation areas of the ANC system must be optimised • The most commonly optimised area is the algorithm that generates the anti noise • However other areas such as the hardware and the hardware placement should also be optimised Optimisation Methods • Gradient Descent methods • Simulated Annealing • Particle Swarm optimisation • Genetic Algorithms Genetic Algorithms Introduction to Genetic Algorithms — Including Example Code | by Vijini Mallawaarachchi | Towards Data Science Diagram explaining how the genetic algorithm works Genes are values that are assigned to a piece of information. Chromosome is a string of Genes Population is a group of Chromosomes Crossover is the swapping of genes within two chromosomes INSERT flow diagram Conclusion Critical Reflection