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J. J. Brewster - IEEE Xplore Author Profile
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J. J. Brewster

Also published under: J. Brewster

Publications
8
Citations
59
Publications by Year
19992004
Co-Authors:
Show All Co-Authors (7)
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J. J. Brewster

Also published under: J. Brewster

Affiliation

Computer Science Department
Wayne State University
Detroit, MI, USA

Publication Topics

Publications
8
Citations
59
Publications by Year
19992004
Co-Authors:
Show All Co-Authors (7)
Author's Published Works

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Alternative fuel adoption

J.J. Brewster;R.G. Reynolds

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)
Year: 2004 | Conference Paper |
Conversion from a widely-used automotive fuel to an alternative fuel can be seen as the coevolution of two systems: a societal system of vehicle owners and a supply infrastructure that will provide the alternative fuel. We present a cultural algorithms model that allows us to assess the impact that initial alternative fuel station distribution and cultural motivation have on alternative fuel adopt...Show More

Alternative fuel adoption

J.J. Brewster;R.G. Reynolds

Year: 2004 | Volume: 2 | Conference Paper |

Cultural swarms II: virtual algorithm emergence

R.G. Reynolds;Bin Peng;J. Brewster

The 2003 Congress on Evolutionary Computation, 2003. CEC '03.
Year: 2003 | Conference Paper |
Cited by: Papers (9)
Cultural algorithms (CA) (Reynolds 1994) is an evolutionary model derived from the cultural evolution process. CA has two major components, a population components and a belief component. In a previous paper it was show that certain problem solving phases emerged during the optimization process in a dynamic problem solving environment (Reynolds and Saleem 2003). These phases were labeled coarse gr...Show More

Cultural swarms II: virtual algorithm emergence

R.G. Reynolds;Bin Peng;J. Brewster

Year: 2003 | Volume: 3 | Conference Paper |

Cultural swarms

Bin Peng;R.G. Reynolds;J. Brewster

The 2003 Congress on Evolutionary Computation, 2003. CEC '03.
Year: 2003 | Conference Paper |
Cited by: Papers (9)
In the previous work it was observed that certain problem solving phases emerged during the optimization process for a real-valued functional surface within a cone-world environment using a cultural algorithm. The cultural algorithm was configured using five knowledge sources in the belief space, and evolutionary programming model in the population space (Reynolds and Saleem, 2003). It turned out ...Show More

Cultural swarms

Bin Peng;R.G. Reynolds;J. Brewster

Year: 2003 | Volume: 3 | Conference Paper |

Cultural swarms: knowledge-driven problem solving in social systems

R.G. Reynolds;B. Peng;J.J. Brewster

SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)
Year: 2003 | Conference Paper |
Cited by: Papers (7)
In this paper we investigate how diverse knowledge sources interact to direct individuals in a swarm population. We identify three basic phases of problem solving that are generated by the swarm population in the solution of real valued function optimization problems. The question that we are interested in answering is how these phases derive from the interaction of various sources of cultural kno...Show More

Cultural swarms: knowledge-driven problem solving in social systems

R.G. Reynolds;B. Peng;J.J. Brewster

Year: 2003 | Volume: 4 | Conference Paper |

Cultural swarms: modeling the impact of culture on social interaction and problem solving

R. Iacoban;R.G. Reynolds;J. Brewster

Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706)
Year: 2003 | Conference Paper |
Cited by: Papers (29)
In this paper we investigate how diverse knowledge sources interact to direct individuals in a swarm population. We identify three basic phases of problem solving that are generated by the swarm population in the solution of real valued function optimization problems. The question that we are interested in answering is how these phases derive from the interaction of various sources of cultural kno...Show More

Cultural swarms: modeling the impact of culture on social interaction and problem solving

R. Iacoban;R.G. Reynolds;J. Brewster

Year: 2003 | Conference Paper |

Cultural swarms: assessing the impact of culture on social interaction and problem solving

R. Jacoban;R.G. Reynolds;J. Brewster

Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706)
Year: 2003 | Conference Paper |
Cited by: Papers (2)
In this paper we investigate how diverse knowledge sources interact to direct individuals in a swarm population. We identify three basic phases of problem solving that are generated by the swarm population in the solution of real valued function optimization problems. The question that we are interested in answering is how these phases derive from the interaction of various sources of cultural kno...Show More

Cultural swarms: assessing the impact of culture on social interaction and problem solving

R. Jacoban;R.G. Reynolds;J. Brewster

Year: 2003 | Conference Paper |

Not in my backyard: a simulation of the effects of agent mobility on environmental poisoning

J.J. Brewster;R.G. Reynolds;M.A. Brockmeyer

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)
Year: 2002 | Conference Paper |
Cited by: Papers (1)
Evolve IV is an individual-based metabolically driven evolutionary ecosystem model that captures the reciprocal relationship between biota and their environment. In one series of experiments with Evolve IV, the initial population modifies the environment to its own disadvantage, i.e., it pollutes. Eventually a new nonpolluting population emerges. The length of time taken for this evolutionary lear...Show More

Not in my backyard: a simulation of the effects of agent mobility on environmental poisoning

J.J. Brewster;R.G. Reynolds;M.A. Brockmeyer

Year: 2002 | Volume: 1 | Conference Paper |

Computer experiments on the development of niche specialization in an artificial ecosystem

J.J. Brewster;M. Conrad

Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406)
Year: 1999 | Conference Paper |
Cited by: Papers (2)
EVOLVE IV is an evolutionary ecosystem model designed to explore niche proliferation and the emergence of inter-specific interactions. Organisms can interact by exchanging metabolites and by modifying their environment either to the benefit or detriment of neighboring organisms. Experiments indicate that niche formation occurs in the model.Show More

Computer experiments on the development of niche specialization in an artificial ecosystem

J.J. Brewster;M. Conrad

Year: 1999 | Volume: 1 | Conference Paper |

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