We propose adaptive algorithms for mitigating inter-symbol interference (ISI) in multimode fiber (MMF) systems using a spatial light modulator (SLM). Minimizing ISI in MMF systems using an SLM has previously been posed as a convex optimization problem. Based on these results, we propose a range of algorithms for adapting the SLM settings. Some of these are shown to converge to the global optimum in the absence of noise. We then propose modified versions of these algorithms to improve resilience to noise and speed of convergence. Simulation results are included, showing that these algorithms open an otherwise closed eye pattern.