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The Impact Of Increased Optimization Problem Dimensionality On Cultural Algorithm Performance, Yang Yang
The Impact Of Increased Optimization Problem Dimensionality On Cultural Algorithm Performance, Yang Yang
Wayne State University Theses
ABSTRACT
The Impact of Increased Optimization Problem Dimensionality on
Cultural Algorithm Performance
by
Yang Yang
August 2015
Advisor: Dr. Robert Reynolds
Major: Computer Science
Degree: Master of Science
In this thesis, we investigate the performance of Cultural Algorithms when dealing with the increasing dimensionality of optimization problems. The research is based on previous cultural algorithm approaches with the Cultural Algorithms Toolkit, CAT 2.0, which supports a variety of co-evolutionary features at both the knowledge and population levels. In this project, the system was applied to the solution of 60 randomly generated problems that ranged from 2-dimensional to 5-dimensional problem spaces. …
Evolving Heterogeneous And Subcultured Social Networks For Optimization Problem Solving In Cultural Algorithms, Yousof Gawasmeh
Evolving Heterogeneous And Subcultured Social Networks For Optimization Problem Solving In Cultural Algorithms, Yousof Gawasmeh
Wayne State University Dissertations
Cultural Algorithms are computational models of social evolution based upon principle of Cultural Evolution. A Cultural Algorithm are composed of a Belief Space consisting of a network of active and passive knowledge sources and a Population Space of agents. The agents are connected via a social fabric over which information used in agent problem solving is passed. The knowledge sources in the Belief Space compete with each other in order to influence the decision making of agents in the Population Space. Likewise, the problem solving experiences of agents in the Population Space are sent back to the Belief Space and …