Lecture Notes in Computer Science - Simulated Evolution and Learning
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Published By Springer Berlin Heidelberg

9783540633990, 9783540695387

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Knowledge acquisition of fuzzy control rules for mobile robots using DNA coding method and pseudo-bacterial GA

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/bfb0028529 ◽

1997 ◽

pp. 126-135 ◽

Cited By ~ 3

Author(s):

Tomohiro Yoshikawa ◽

Takeshi Furuhashi ◽

Yoshiki Uchikawa

Keyword(s):

Fuzzy Control ◽

Mobile Robots ◽

Knowledge Acquisition ◽

Dna Coding ◽

Control Rules ◽

Coding Method

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A technique for improving the convergence characteristic of genetic algorithms and its application to a genetic-based load flow algorithm

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/bfb0028533 ◽

1997 ◽

pp. 167-176 ◽

Cited By ~ 3

Author(s):

Kit Po Wong ◽

An Li

Keyword(s):

Genetic Algorithms ◽

Load Flow ◽

Flow Algorithm

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Top-down evolutionary engineering

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/bfb0028516 ◽

1997 ◽

pp. 11-16

Author(s):

Lawrence J. Fogel

Keyword(s):

Evolutionary Engineering ◽

Top Down

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Optimization of parameters of color image segmentation using evolutionary programming

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/bfb0028526 ◽

1997 ◽

pp. 97-105

Author(s):

Won-Kyung Song ◽

Zeungnam Bien

Keyword(s):

Image Segmentation ◽

Color Image ◽

Evolutionary Programming ◽

Color Image Segmentation ◽

Optimization Of Parameters

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EPNet for chaotic time-series prediction

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/bfb0028531 ◽

1997 ◽

pp. 146-156 ◽

Cited By ~ 8

Author(s):

Xin Yao ◽

Yong Liu

Keyword(s):

Time Series ◽

Time Series Prediction ◽

Chaotic Time Series ◽

Chaotic Time Series Prediction

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Would and should government lie about economic statistics: simulations based o evolutionary cellular automata

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/bfb0028532 ◽

1997 ◽

pp. 157-166

Author(s):

Shu-Heng Chen

Keyword(s):

Cellular Automata ◽

Economic Statistics

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Knowledge extraction using neural network by an artificial life approach

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/bfb0028534 ◽

1997 ◽

pp. 177-186 ◽

Cited By ~ 1

Author(s):

Yuji Makita ◽

Masafurni Hagiwara

Keyword(s):

Neural Network ◽

Artificial Life ◽

Knowledge Extraction

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Selection of input variables of fuzzy model using genetic algorithm with quick fuzzy inference

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/bfb0028520 ◽

1997 ◽

pp. 45-53 ◽

Cited By ~ 1

Author(s):

S. Matsushita ◽

T. Furuhashi ◽

H. Tsutsui ◽

Y. Uchikawa

Keyword(s):

Genetic Algorithm ◽

Fuzzy Inference ◽

Fuzzy Model ◽

Input Variables ◽

Selection Of

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Fuzzy identification of unknown systems based on GA

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/bfb0028538 ◽

1997 ◽

pp. 216-223 ◽

Cited By ~ 1

Author(s):

Jee-Hyong Lee ◽

Hyung Lee-Kwang

Keyword(s):

Fuzzy Identification

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Evolving state and memory in genetic programming

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/bfb0028523 ◽

1997 ◽

pp. 73-80

Author(s):

Simon E. Raik ◽

David G. Browne

Keyword(s):

Genetic Programming

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Lecture Notes in Computer Science - Simulated Evolution and LearningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Knowledge acquisition of fuzzy control rules for mobile robots using DNA coding method and pseudo-bacterial GA

A technique for improving the convergence characteristic of genetic algorithms and its application to a genetic-based load flow algorithm

Top-down evolutionary engineering

Optimization of parameters of color image segmentation using evolutionary programming

EPNet for chaotic time-series prediction

Would and should government lie about economic statistics: simulations based o evolutionary cellular automata

Knowledge extraction using neural network by an artificial life approach

Selection of input variables of fuzzy model using genetic algorithm with quick fuzzy inference

Fuzzy identification of unknown systems based on GA

Evolving state and memory in genetic programming

Lecture Notes in Computer Science - Simulated Evolution and Learning
Latest Publications