The stored non-domination level multi-objective evolutionary algorithm

"The research presented in this dissertation is in the field of Multi-Objective Evolutionary Algorithms. Evolutionary Algorithms (EAs) are a class of algorithms which model Darwin's theory of evolution to search for solutions to difficult problems. Multi-Objective Evolutionary Algorithms (MOEAs) are a broader case of the standard EA. The primary distinction between an EA and a MOEA is that and EA searches for a single solution based on one objective, while a MOEA searches for a set of solutions based on a number of different objectives. The heart of this research is a new algorithm call SNDL-MOEA, which stands for "Stored Non-Domination Level Multi-Objective Evolutionary Algorithm"--Abstract, page iii.

Name thesis:degree_name

Ph. D. in Computer Science

Grantor

University of Missouri--Rolla

Year dc:date.available

2016

Author dc:creator

• Johnson, Matt D.

• Computer Sciences

Repository record dc:identifier

https://scholarsmine.mst.edu/doctoral_dissertations/1744

OAI identifier oai:identifier

oai:scholarsmine.mst.edu:doctoral_dissertations-2746