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Abstract: A wide variety of problem areas require algorithms that can find an representative example of each of a set of qualitative classes. Such problems are typically tackled by ad hoc heuristics. In this paper we discuss some examples of this kind of problem, and give a general metaheuristic based on a genetic algorithm with endogenous fitness for finding solutions to this kind of problem. This algorithm works by recognizing when the population is currently searching a fecund area of the search space ... (Update)
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3.0: Understanding complex systems through examples: A framework for.. - Johnson (2000) (Correct)
0.6: Finding Diverse Examples Using Genetic Algorithms. - Johnson (Correct)
0.4: Exploring Knot-Space With Genetic Algorithms. - Johnson (Correct)
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BibTeX entry: (Update)
@misc{ johnson-rebelling,
author = "Colin G. Johnson",
title = "Rebelling against the crowd: Qualitative Example-Finding using Genetic
Algorithms with Endogenous Fitness.",
url = "citeseer.ist.psu.edu/360385.html" }
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106 Removing the genetics from the standard genetic algorithm - Baluja, Caruna - 1995
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14 The Knot Book (context) - Adams - 1994
8 Cognition is not computation: Evolution is not optimisation - Harvey - 1997
7 Quantum-eld theory and the Jones polynomial (context) - Witten - 1989
5 Computers and Creativity (context) - Partridge, Rowe - 1994
4 Exploring the sound-space of synthesis algorithms using inte.. - Johnson - 1999
4 Using software visualization technology to help evolutionary.. - Collins - 1997
4 The Mathematical Intelligencer (context) - Hoste, Thistlethwaite et al. - 1998
3 Niching methods (context) - Mafoud - 1997
2 Evolutionary case-based design (context) - Rosenmann - 1999
2 A symbiotic coevolutionary approach to architecture (context) - Jackson - 1999
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1 Automated program aw-nding using simulated annealing (context) - Tracy, Clark et al. - 1998
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