A Scalability Study and New Algorithms for Large-Scale Many-Objective Optimization
dc.contributor.author | Maltese, Justin | |
dc.date.accessioned | 2016-05-09T20:41:38Z | |
dc.date.available | 2016-05-09T20:41:38Z | |
dc.identifier.uri | http://hdl.handle.net/10464/9277 | |
dc.description.abstract | Many real-world optimization problems contain multiple (often conflicting) goals to be optimized concurrently, commonly referred to as multi-objective problems (MOPs). Over the past few decades, a plethora of multi-objective algorithms have been proposed, often tested on MOPs possessing two or three objectives. Unfortunately, when tasked with solving MOPs with four or more objectives, referred to as many-objective problems (MaOPs), a large majority of optimizers experience significant performance degradation. The downfall of these optimizers is that simultaneously maintaining a well-spread set of solutions along with appropriate selection pressure to converge becomes difficult as the number of objectives increase. This difficulty is further compounded for large-scale MaOPs, i.e., MaOPs possessing large amounts of decision variables. In this thesis, we explore the challenges of many-objective optimization and propose three new promising algorithms designed to efficiently solve MaOPs. Experimental results demonstrate the proposed optimizers to perform very well, often outperforming state-of-the-art many-objective algorithms. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Brock University | en_US |
dc.subject | Multi-objective Optimization | en_US |
dc.subject | Many-objective Optimization | en_US |
dc.subject | Computational Intelligence | en_US |
dc.subject | Pareto Optimality | en_US |
dc.subject | Optimization Algorithms | en_US |
dc.title | A Scalability Study and New Algorithms for Large-Scale Many-Objective Optimization | en_US |
dc.type | Electronic Thesis or Dissertation | en |
dc.degree.name | M.Sc. Computer Science | en_US |
dc.degree.level | Masters | en_US |
dc.contributor.department | Department of Computer Science | en_US |
dc.degree.discipline | Faculty of Mathematics and Science | en_US |
refterms.dateFOA | 2021-07-16T10:24:26Z |