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Abstract: In the past few years the evolutionary computation landscape has been rapidly changing as a result of increased levels of interaction between various research groups and the injection of new ideas which challenge old tenets. The effect has been simultaneously exciting, invigorating, annoying, and bewildering to the old-timers as well as the new-comers to the field. Emerging out of all of this activity are the beginnings of some structure, some common themes, and some agreement on important open ... (Update)
Context of citations to this paper: More
.... Later on, it was accepted for Complex Systems 92, held in Australia, and published in the book that came out of it; that paper [de Oliveira 1993] is an abridged version of the original, and contains the essence of Chapter 4. The third version of the system, then named...
.... algorithms bridge this hiatus by introducing mutation (for a discussion on different mechanisms for obtaining innovation, see DeJong and Spears, 1995) also the co learning algorithm introduced by Shoham and Tennenholtz, 1994) However, the view of innovation as accidental...
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0.4: Crossover or Mutation? - Spears (1992) (Correct)
0.1: Adapting Crossover in Evolutionary Algorithms - Spears (1995) (Correct)
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0.4: On the Virtues of Parameterized Uniform Crossover - Spears (1991) (Correct)
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BibTeX entry: (Update)
DeJong, K. & Spears, W. (1993). On the State of Evolutionary Computation. Proceedings of the Fifth ICGA, 618-623. Kaufmann, San Mateo, CA. http://citeseer.ist.psu.edu/dejong93state.html More
@inproceedings{ dejong93state,
author = "Kenneth A. {De Jong} and William Spears",
title = "On the State of Evolutionary Computation",
booktitle = "Proceedings of the Fifth International Conference on Genetic Algorithms",
publisher = "Morgan Kaufman",
address = "San Mateo, CA",
editor = "Stephanie Forrest",
pages = "618--623",
year = "1993",
url = "citeseer.ist.psu.edu/dejong93state.html" }
Citations (may not include all citations):1931 Adaptation in Natural and Artificial Systems (context) - Holland - 1992
1931 Adaptation in Natural and Artificial Systems (context) - Holland - 1975
1053 Genetic programming: On the programming of computers by mean.. (context) - Koza - 1992
221 Numerical Optimization of Computer Models (context) - Schwefel - 1981
209 Genetic algorithms with sharing for multimodal function opti.. (context) - Goldberg, Richardson - 1987
205 Co-evolving parasites improve simulated evolution as an opti.. (context) - Hillis - 1990
185 Escaping brittleness: The possibilities of general-purpose l.. (context) - Holland - 1986
94 Adapting operator probabilities in genetic algorithms (context) - Davis - 1989
89 The genetic algorithm and the structure of the fitness lands.. (context) - Manderick, de Weger et al. - 1991
74 Dynamic parameter encoding for genetic algorithms - Schraudolph, Belew - 1992
55 An adaptive crossover distribution mechanisms for genetic al.. (context) - Schaffer, Morishima - 1987
53 Sizing populations for serial and parallel genetic algorithm.. (context) - Goldberg
49 Lamarckian learning in multiagent environments - Grefenstette - 1991
45 Forma analysis and random respectful recombination - Radcliffe - 1991
39 Crossover or mutation - Spears
39 Preventing premature convergence in genetic algorithms by pr.. (context) - Eshelman, Schaffer - 1991
34 The ARGOT strategy: adaptive representation genetic optimize.. (context) - Shaefer - 1987
30 Intelligent Behavior as an adaptation to the task environmen.. (context) - Booker - 1982
17 Don't worry (context) - Goldberg, Deb et al. - 1991
14 Schema disruption (context) - Vose, Liepins - 1991
8 A survey of evolution strategies (context) - ck, Hoffmeister et al. - 1991
1 A formal analysis of the role of multi-point crossover in ge.. (context) - Michigan, Arbor et al. - 1992
1 Recombination distributions for genetic algorithms (context) - Michigan, Arbor - 1992
The graph only includes citing articles where the year of publication is known.
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Learning Concept Classification Rules Using Genetic Algorithms - De Jong, Spears (1991) (Correct)
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An Overview of Evolutionary Computation - Spears, De Jong, Bäck, Fogel, de .. (1993) (Correct)
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