The stored non-domination level multi-objective evolutionary algorithm
Institution: | Missouri University of Science and Technology |
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Department: | |
Year: | 2007 |
Record ID: | 1796691 |
Full text PDF: | http://hdl.handle.net/10355/29577 |
"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, leaf iii.