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Large-Scale Nonlinear Programming for Multi-scenario Optimization
[chapter]
2008
Modeling, Simulation and Optimization of Complex Processes
Multi-scenario optimization is a convenient way to formulate design optimization problems that are tolerant to disturbances and model uncertainties and/or need to operate under a variety of different conditions. Moreover, this problem class is often an essential tool to deal with semi-infinite problems. Here we adapt the IPOPT barrier nonlinear programming algorithm to provide efficient parallel solution of multi-scenario problems. The recently developed object oriented software, IPOPT 3.1, has
doi:10.1007/978-3-540-79409-7_22
dblp:conf/hpsc/LairdB06
fatcat:fven6sspvnbpfoaizkhl3tw2he