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2301 documents found. Only retrieving 500 documents (System busy - maximum reduced). Retrieving documents... Order: number of citations.

Reinforcement Learning: A Survey - Kaelbling, Littman, Moore (1996)   (Correct)   (367 citations)
been taken by work in genetic algorithms and genetic programming, as well as some more novel search
www.cs.brown.edu/courses/cs243/RLsurvey.ps

Fitness Distance Correlation as a Measure of Problem.. - Jones, Forrest (1995)   (Correct)   (85 citations)
(1994) based on a correspondence between genetic programming and beam search. In both fields, search
ftp.cs.unm.edu/pub/forrest/fdc-icga95.ps.gz

Complexity Compression and Evolution - Nordin, Banzhaf (1995)   (Correct)   (80 citations)
short, elegant and general solutions in a genetic programming system and other variable length
of Evolutionary Algorithms in general, and Genetic Programming in particular, is that they have the built
lumpi.informatik.uni-dortmund.de/pub/biocomp/papers/icga95-1.ps.gz

Neural Network Synthesis Using Cellular Encoding And.. -.. (1994)   (Correct)   (70 citations)
: 1 1.2 Genetic Programming :
of Neural Networks without learning 57 5.1 Genetic Programming :
www.cwi.nl/~gruau/gruau/PhD94-01-E.ps.Z

Feature Subset Selection Using A Genetic Algorithm - Jihoon Yang (1997)   (Correct)   (65 citations)
Feature Subset Selection Using A Genetic Algorithm Jihoon Yang and Vasant Honavar
We propose a solution to this problem using a genetic algorithm. Our experiments demonstrate the
www.cs.iastate.edu/tech-reports/TR97-02.ps

Challenges in Evolving Controllers for Physical Robots - Mataric, Cliff (1996)   (Correct)   (61 citations)
field. Section 2.1 describes approaches to genetic programming in simulation, Section 2.2 discusses
research from each of the areas in turn. 2.1 Genetic Programming in Simulation Genetic programming (GP)
www.inet.gda.pl/ai/ftp.cs.brandeis.edu/pub/faculty/maja/ras-fukuda.ps.Z

Issues in Evolutionary Robotics - Harvey, Husbands, Cliff (1993)   (Correct)   (58 citations)
a different evolutionary approach, using genetic programming (9)Straightforward Genetic Algorithms
Brooks proposes using an extension of Koza's genetic programming techniques (18) as the method for evolving
coast.cs.purdue.edu/pub/doc/genetic_algorithms/apps/Issues-Evolutionary-Robotics.ps.Z

Genetic Programming and Redundancy - Blickle, Thiele (1994)   (Correct)   (55 citations)
Genetic Programming and Redundancy Tobias Blickle and Lothar
D-66041 Saarbrucken Abstract The Genetic Programming optimization method (GP) elaborated by
www.tik.ee.ethz.ch/~blickle/GPandRedundancy.ps.gz

A Cooperative Coevolutionary Approach to Function Optimization - Potter, De Jong (1994)   (Correct)   (53 citations)
in classifier systems and subroutines in genetic programming. The difficulty comes in finding
www.cs.gmu.edu/~mpotter/pubs/ppsn94.ps

A Schema Theorem for Context-Free Grammars - Whigham (1995)   (Correct)   (45 citations)
nature of GA's has been extended with genetic programming (GP) 4]which uses a tree-based
closure and typing that have occurred with genetic programming (GP)The use of a formal grammatical
www.cs.adfa.oz.au/pub/xin/whigham_schema.ps.Z

How To Evolve Autonomous Robots: Different.. - Nolfi, Floreano.. (1994)   (Correct)   (45 citations)
proposes to use an extension of Koza's genetic programming technique (Koza, 1990)Dorigo and
Michigan Press, Ann Arbor. Koza J. R. 1990. Genetic Programming. A Paradigm for Genetically Breeding
www.inet.gda.pl/ai/kant.irmkant.rm.cnr.it/pub/econets/nolfi.alifeiv.ps.Z

Genetic Generation Of Both The Weights And Architecture For A.. - Koza, Rice (1991)   (Correct)   (41 citations)
network is successfully evolved. The new "genetic programming" paradigm is applied to the problem of
this paper describes the recently developed "genetic programming" paradigm which genetically breeds
www.genetic-programming.com/IJCNN91.ps

Coevolving High-Level Representations - Angeline (1994)   (Correct)   (41 citations)
hierarchical LISP expression trees of the genetic programming paradigm 21,20 and the FSA
genetic algorithm modeled after Koza's genetic programming paradigm (GPP)20,21 Primitive
www.natural-selection.com/people/pja/docs/alife3.ps.Z

Stochastic Hillclimbing as a Baseline Method for Evaluating.. - Juels, Wattenberg (1994)   (Correct)   (38 citations)
three classical NP-complete problems and a genetic programming problem. Second, we consider hillclimbing
markedly superior to that of the GA. 3.3 Genetic Programming Genetic programming" GP) is a method of
superior to that of the GA. 3.3 Genetic Programming Genetic programming" GP) is a method of enabling
www.cse.cuhk.edu.hk/pub/EC/GA/papers/csd94-834.ps.gz

Silicon Evolution - Thompson (1996)   (Correct)   (37 citations)
Proceedings of Genetic Programming 1996 (GP96)J.R. Koza et al. Eds)pages
2 (1)73-110. de Garis, H. 1991)Genetic programming :Artificial nervous systems, artificial
www.bioele.nuee.nagoya-u.ac.jp/wsc1/papers/files/thompson1.ps.gz

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