2026-09-19T08:57:35Zhttps://wakespace.lib.wfu.edu/server/oai/request

oai:null:10339/821692026-09-02T15:45:02Zcom_10339_14934col_10339_38132

Freedman, Riana 2017-06-15T08:35:33Z 2019-06-14T08:30:13Z 2017 https://wakespace.lib.wfu.edu/handle/10339/82169 Business professionals are seeking a solution to the problem of nonlinear optimization to maximize product value for the most respondents to a product survey. A comparative approach considers five methods of obtaining maximal solutions in minimal time. Simulated annealing and exhaustive enumeration seek to provide a family of solutions. Creating data warehouses using each of exhaustive enumeration, sampling with replacement, and sampling without replacement allows for more expedient analysis. Each method was assessed in terms of time requirements and quality of solution. Aside from exhaustive enumeration, the creation of a data warehouse that is a subset of all configurations via sampling without replacement provided near optimal families of solutions in minimal time. en Wake Forest University data sampling data warehouse parallel optimization A Comparative Assessment of Methodologies for Solving Problems of Nonlinear Optimization in the Business Sector Thesis Santago II, Peter Turkett, William H. Camm, Jeffrey D. Computer Science 2019-06-14 open.access