TY - CHAP A1 - W. Rohringer A2 - D. Fischer A3 - M. Trupke A4 - J. Schmiedmayer A5 - T. Schumm ED1 - Ioannis Dritsas Y1 - 2011-02-28 PY - 2011 T1 - Stochastic Optimization of Bose-Einstein Condensation Using a Genetic Algorithm N2 - Stochastic Optimization Algorithms have become essential tools in solving a wide range of difficult and critical optimization problems. Such methods are able to find the optimum solution of a problem with uncertain elements or to algorithmically incorporate uncertainty to solve a deterministic problem. They even succeed in fighting uncertainty with uncertainty. This book discusses theoretical aspects of many such algorithms and covers their application in various scientific fields. BT - Stochastic Optimization SP - Ch. 1 UR - https://doi.org/10.5772/15480 DO - 10.5772/15480 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-04-22 ER -