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The Practitioner's Role in Competent Search and Optimization Using Genetic Algorithms  (Make Corrections)  
Patrick M. Reed, Barbara S. Minsker, David E. Goldberg



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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" }
Citations (may not include all citations):
2138   Genetic Algorithms in Search (context) - Goldberg - 1989
1931   Adaptation in Natural and Artificial Systems (context) - Holland - 1975
191   An overview of evolutionary algorithms in multiobjective opt.. - Fonseca, Fleming - 1995
177   Genetic algorithms (context) - Goldberg, Deb et al. - 1992
177   An analysis of the behavior of a class of genetic adaptive s.. (context) - DeJong - 1975
159   A comparative analysis of selection schemes used in genetic .. (context) - Goldberg - 1991
148   An investigation of niche and species formation in genetic f.. (context) - Deb, Goldberg - 1989
133   Multiobjective optimization using nondominated sorting in ge.. - Srinivas, Deb - 1995
101   Multiobjective evolutionary algorithms: a comparative case s.. - Zitzler, Thiele - 1999
99   Comparison of multiobjective evolutionary algorithms: empiri.. - Zitzler, Deb et al. - 2000
91   A comprehensive survey of evolutionary-based multiobjective .. - Coello - 1999
74   Evolutionary Algorithms for Constrained Parameter Optimizati.. - Michalewicz, Schoenauer - 1996
69   Mixing in genetic algorithms (context) - Thierens, Goldberg - 1993
67   Multiobjective Optimization and Multiple Constraint Handling.. - Fonseca, Fleming - 1998
63   The gambler's ruin problem (context) - Harik, Cant-Paz et al. - 1997
61   Niching Methods for Genetic Algorithms - Mahfoud - 1995
47   Convergence Models of Genetic Algorithm Selection Schemes (context) - Thierens, Goldberg - 1994
37   Multi-objective genetic local search algorithm (context) - Ishibuchi, Murata - 1996
33   Selective breeding in a multiobjective genetic algorithm (context) - Parks, Miller - 1998
21   Evolutionary Algorithms in Theory and Practice (context) - Bck - 1996
21   Analysis and design of genetic algorithms (context) - Thierens - 1995
16   Multiobjective Evolutionary Algorithms: Classifications - Van Veldhuizen - 1999
12   An Empirical Study of Evolutionary Techniques for Multiobjec.. (context) - Coello - 1996
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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