MehrstartVerfahren

MehrstartVerfahren, often translated as multi-start procedure or multi-start method, refers to an optimization technique used in computing and engineering. It involves running a local search optimization algorithm multiple times from different starting points. The core idea is that local search algorithms can get trapped in local optima, which are solutions that are better than their immediate neighbors but not necessarily the best overall solution (global optimum). By initiating the search from various diverse starting points, the algorithm explores a wider range of the solution space. Each run of the algorithm will converge to a local optimum. The best local optimum found across all the multiple starts is then selected as the final solution. This approach increases the probability of finding a global or near-global optimum, especially for complex, non-convex problems where the landscape of possible solutions contains many local minima. The effectiveness of MehrstartVerfahren depends on the diversity of the starting points and the characteristics of the problem being optimized.