1. Using Hierarchical Bayesian Optimization to Learn and Exploit the Dependency Structures of Combinatorial Many-Objective Decision Problems Open Access Author: Shah, Ruchit Aswin Title: Using Hierarchical Bayesian Optimization to Learn and Exploit the Dependency Structures of Combinatorial Many-Objective Decision Problems Graduate Program: Industrial Engineering Keywords: Combinatorial optimizationMultiobjective optimizationKnapsack problemProbabilistic model building evolutionary algorithHierarchical Bayesian networksVisual Analytics File: Download Thesis_Ruchit_Shah.pdf Committee Members: John Patrick Reed, Thesis Advisor/Co-AdvisorPatrick M Reed, Thesis Advisor/Co-AdvisorTimothy William Simpson, Thesis Advisor/Co-Advisor
