# Particle swarm optimization of divertor targets for heat load control

## TL;DR

This paper presents a method using particle swarm optimization combined with FLARE-based heat load approximation to optimize divertor target geometry in fusion devices, considering plasma assumptions and heat load constraints.

## Contribution

It introduces a novel integration of PSO with FLARE for divertor design optimization in fusion reactors.

## Key findings

- Optimal divertor configurations depend on plasma assumptions.
- The method effectively minimizes heat loads on divertor components.
- Results demonstrate the importance of background plasma modeling.

## Abstract

Divertor targets in magnetic confinement fusion devices must be designed to handle extreme heat loads. Fast approximation of heat loads with FLARE based on field line reconstruction from an unstructured flux tube mesh is utilized in particle swarm optimization (PSO) of the divertor target geometry. Optimization of the outer divertor target in ITER is evaluated with a constraint for the head loads onto baffles. The optimal configuration is found to depend on assumptions for the background plasma in the heat load proxy simulation.