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008			121227s1997 gw | s |||| 0|eng d
020			_a9783540695387 _9978-3-540-69538-7
024	7		_a10.1007/BFb0028514 _2doi
050		4	_aQ334-342
050		4	_aTA347.A78
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072		7	_aCOM004000 _2bisacsh
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082	0	4	_a006.3 _223
245	1	0	_aSimulated Evolution and Learning _h[electronic resource] : _bFirst Asia-Pacific Conference, SEAL'96, Taejon, Korea, November 9-12, 1996. Selected Papers. / _cedited by Xin Yao, Jong-Hwan Kim, Takeshi Furuhashi.
250			_a1st ed. 1997.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c1997.
300			_aX, 238 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v1285
505	0		_aEmergent phenomena and computer worlds -- Top-down evolutionary engineering -- Function optimization using evolutionary programming with self-adaptive cultural algorithms -- An adaptive evolutionary algorithm for numerical optimization -- Lagrangian-based evolutionary programming for constrained optimization -- Selection of input variables of fuzzy model using genetic algorithm with quick fuzzy inference -- Entropic sampling in genetic-entropic algorithm -- Computational and learning synergies with a coevolving multilevel architecture -- Evolving state and memory in genetic programming -- Evolutionary CT image reconstruction by image partitioning -- Genetic learning of the irrigation cycle for water flow in cropped soils -- Optimization of parameters of color image segmentation using evolutionary programming -- Genetic algorithms for solving multiprocessor scheduling problems -- A study on co-evolutionary learning of neural networks -- Knowledge acquisition of fuzzy control rules for mobile robots using DNA coding method and pseudo-bacterial GA -- Evolutionary learning algorithm for projection neural networks -- EPNet for chaotic time-series prediction -- Would and should government lie about economic statistics: simulations based o evolutionary cellular automata -- A technique for improving the convergence characteristic of genetic algorithms and its application to a genetic-based load flow algorithm -- Knowledge extraction using neural network by an artificial life approach -- An inference method using multiple patterns and modification of pattern space -- Random search based on genetic operators -- Hybrid evolutionary learning of fuzzy logic and genetic algorithm -- Fuzzy identification of unknown systems based on GA -- Competitive co-evolution model on the acquisition of game strategy.
520			_aThis book constitutes the thoroughly refereed post-conference documentation of the First Asia-Pacific Conference on Simulated Evolution and Learning, SEAL'96, held in Taejon, Korea, in November 1996. The 23 revised full papers were selected for inclusion in this book on the basis of 2 rounds of reviewing and improvements. Also included are invited papers by John L. Casti and Lawrence J. Fogel. The volume covers a wide range of current topics in simulated evolution and learning e.g. evolutionary optimization, evolutionary learning, artificial life, hybrid evolutionary fuzzy systems, evolutionary artificial neural networks, co-evolution, novel evolutionary approaches to computer tomography image reconstruction, power systems load flow control, and water flow control in cropped soils.
650		0	_aArtificial intelligence.
650		0	_aComputer simulation.
650		0	_aComputer science.
650		0	_aBioinformatics.
650		0	_aDynamics.
650		0	_aNonlinear theories.
650	1	4	_aArtificial Intelligence.
650	2	4	_aComputer Modelling.
650	2	4	_aTheory of Computation.
650	2	4	_aComputational and Systems Biology.
650	2	4	_aApplied Dynamical Systems.
700	1		_aYao, Xin. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKim, Jong-Hwan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aFuruhashi, Takeshi. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783540633990
776	0	8	_iPrinted edition: _z9783662184301
830		0	_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v1285
856	4	0	_uhttps://doi.org/10.1007/BFb0028514
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