BBOB swMATH ID: 38130 Software Authors: Doerr, B., Fouz, M., Schmidt, M., Wahlström, M. Description: BBOB: Nelder-Mead with resize and halfruns. Using the BBOB template, we investigate how the Nelder-Mead simplex algorithm can be combined with evolutionary ideas to give a competitive hybrid approach to optimize continuous functions. We significantly improve the performance of the algorithm in higher dimension by the addition of a reshaping step of the search, to correct for a known problem in the simplex search behaviour. We also give a reasonably good population-based approach in which only a third of the individuals is fully matured, with a bias towards fitter individuals, via a variant of the Nelder-Mead method. Homepage: https://dl.acm.org/doi/10.1145/1570256.1570312 Related Software: Algorithm 829; IOHprofiler; PlatEMO; ecr; MCS; COCO; SMS-EMOA; jMetal; PAVER; RM-MEDA; DIMACS; Matplotlib; minpack; PISA; NEWUOA Cited in: 1 Document all top 5 Cited by 6 Authors 1 Auger, Anne 1 Brockhoff, Dimo 1 Hansen, Nikolaus 1 Mersmann, Olaf 1 Ros, Raymond 1 Tušar, Tea Cited in 1 Serial 1 Optimization Methods & Software Cited in 1 Field 1 Operations research, mathematical programming (90-XX) Citations by Year