Evaluating Evolutionary and Gradient-Based Algorithms for Optimal Pathfinding
This study compares Genetic Algorithm, Particle Swarm Optimization, and Sequential Quadratic Programming for pathfinding in nonlinear terrains, finding SQP to be more efficient and reliable.
bioRxiv · Mar 16, 2025 · PreprintBioinformatics