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Abstract: In the past decade genetic algorithms (GAs) have been used in a wide array of applications within the water resources field. Although usage of GAs has become widespread, the theoretical work from the genetic and evolutionary computation (GEC) field has been largely ignored. Most practitioners have instead treated the GA as a black box, specifying the parameters that control how the algorithms navigate the spaces of each application using trial-and-error analysis. Trial-and-error analysis is a... (Update)
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BibTeX entry: (Update)
@misc{ reed-practitioners,
author = "Patrick M. Reed and Barbara S. Minsker and David E. Goldberg",
title = "The Practitioner's Role in Competent Search and Optimization Using Genetic
Algorithms",
url = "citeseer.ist.psu.edu/445723.html" }
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9 and the Sweet Spot: Lessons from Genetic Algorithms for the .. (context) - Goldberg - 1998
7 Domino Convergence (context) - Thierens, Goldberg et al. - 1998
4 Designing a competent simple genetic algorithm for search an.. (context) - Reed, Minsker et al. - 2000
3 A multiobjective approach to cost effective long-term ground.. (context) - Reed, Minsker et al. - 2001
2 Constraint Handling for Genetic Algorithms in Optimal Remedi.. (context) - Amy, Culver - 2000
1 Comparison of a genetic algorithm and mathematical programmi.. (context) - Alaa, Richard et al. - 1999
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