An investigation of niche and species formation in genetic function optimization
Proceedings of the third international conference on Genetic algorithms
Experiences creating three implementations of the repast agent modeling toolkit
ACM Transactions on Modeling and Computer Simulation (TOMACS)
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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In this research we present a configurable novel framework based on an enhanced heterogeneous hierarchical social fabric influence function embedded in Cultural Algorithms, as a powerful vehicle for the solution of complex problems. We motivate the discussion by investigating the extent to which these emergent phenomena are also visible within novel hybrid complex composition environments whose properties and complexity can be blurred and controlled easily, for the sake of overcoming any shortcomings of existing test functions that some of the current algorithms take advantage of during the optimization process. This environmental complexity induces an increase in the complexity of social roles within our system. We demonstrate how the well-configured hierarchical social fabric enhances Cultural Algorithms performance relative to other evolutionary algorithms from the literature.