Optimization and Preference Tool for the Improvement of Nuclear Systems
This work is the PhD work of Paul Wilding. It is a project to accomplish multi-objective optimization of nuclear reactor design. It generates a pareto front of optimum designs given the objectives. It uses a combination of Non-dominated Sorting Particle Swarm Optimization (NSPSO), Mixed-Integer Non-dominated Sorting Genetic Algorithm (MI-NSGA) and Non-dominated Sorting Genetic Algorithm (NSGA)
More information about this work can be found in the thesis related to this work, referenced below.
Wilding, Paul Richard, "The Development of a Multi-Objective Optimization and Preference Tool to Improve the Design Process of Nuclear Power Plant Systems" (2019). Theses and Dissertations. 7515. https://scholarsarchive.byu.edu/etd/7515