000 | 04432nam a22005655i 4500 | ||
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001 | 978-3-540-48999-3 | ||
003 | DE-He213 | ||
005 | 20160624102038.0 | ||
007 | cr nn 008mamaa | ||
008 | 121227s1994 gw | s |||| 0|eng d | ||
020 |
_a9783540489993 _9978-3-540-48999-3 |
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024 | 7 |
_a10.1007/3-540-58483-8 _2doi |
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050 | 4 | _aQA75.5-76.95 | |
072 | 7 |
_aUYZG _2bicssc |
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072 | 7 |
_aCOM037000 _2bisacsh |
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082 | 0 | 4 |
_a004.0151 _223 |
245 | 1 | 0 |
_aEvolutionary Computing _h[electronic resource] : _bAISB Workshop Leeds, U.K., April 11–13, 1994 Selected Papers / _cedited by Terence C. Fogarty. |
260 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c1994. |
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264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c1994. |
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300 |
_aXII, 340 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v865 |
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505 | 0 | _aFormal memetic algorithms -- A statistical mechanical formulation of the dynamics of genetic algorithms -- Evolutionary stability in simple classifier systems -- Nonbinary transforms for genetic algorithm problems -- Enhancing evolutionary computation using analogues of biological mechanisms -- Exploiting mate choice in evolutionary computation: Sexual selection as a process of search, optimization, and diversification -- An empirical comparison of selection methods in evolutionary algorithms -- An evolution strategy and genetic algorithm hybrid: An initial implementation and first results -- Genetic algorithms and directed adaptation -- Genetic algorithms and neighbourhood search -- A unified paradigm for parallel Genetic Algorithms -- Distributed coevolutionary genetic algorithms for multi-criteria and multi-constraint optimisation -- Inductive operators and rule repair in a hybrid genetic learning system: Some initial results -- Adaptive learning of a robot arm -- Co-evolving Co-operative populations of rules in learning control systems -- Learning anticipatory behaviour using a delayed action classifier system -- Applying a restricted mating policy to determine state space niches using immediate and delayed reinforcement -- A comparison between two architectures for searching and learning in maze problems -- Fast practical evolutionary timetabling -- Optimising a presentation timetable using evolutionary algorithms -- Genetic algorithms and flowshop scheduling: towards the development of a real-time process control system -- Genetic algorithms for digital signal processing -- Complexity reduction using expansive coding -- The application of genetic programming to the investigation of short, noisy, chaotic data series. | |
520 | _aThis volume is based on the Workshop on Evolutionary Computing held in Leeds, U.K. in April 1994 under the sponsorship of the Society for the Study of Artificial Intelligence and Simulation of Behaviour. In addition to the 22 best papers presented at the workshop, there are two invited contributions by Ray Paton and Colin Reever. The volume addresses several aspects of evolutionary computing, particularly genetic algorithms, and its applications, for example in search, robotics, signal processing, machine learning, and scheduling. The papers are organized in sections on theoretical and biological foundations, techniques, classifier systems, and applications. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aComputer software. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aOptical pattern recognition. | |
650 | 0 |
_aBiology _xData processing. |
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650 | 0 |
_aBiology _xMathematics. |
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650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aComputation by Abstract Devices. |
650 | 2 | 4 | _aAlgorithm Analysis and Problem Complexity. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aPattern Recognition. |
650 | 2 | 4 | _aComputer Appl. in Life Sciences. |
650 | 2 | 4 | _aMathematical Biology in General. |
700 | 1 |
_aFogarty, Terence C. _eeditor. |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540584834 |
786 | _dSpringer | ||
830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v865 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/3-540-58483-8 |
942 |
_2EBK6630 _cEBK |
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_c35924 _d35924 |