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020 _a9783540685180
_9978-3-540-68518-0
024 7 _a10.1007/BFb0014795
_2doi
050 4 _aQA76.9.C65
072 7 _aUYM
_2bicssc
072 7 _aCOM072000
_2bisacsh
072 7 _aUYM
_2thema
082 0 4 _a003.3
_223
245 1 0 _aEvolutionary Programming VI
_h[electronic resource] :
_b6th International Conference, EP 97, Indianapolis, Indiana, USA, April 13-16, 1997, Proceedings /
_cedited by Peter J. Angeline, Robert G. Reynolds, John R. McDonnell, Russ Eberhart.
250 _a1st ed. 1997.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c1997.
300 _aX, 466 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 Computer Science,
_x1611-3349 ;
_v1213
505 0 _aComplexity formalisms, order and disorder in the structure of art -- Searching real-valued synaptic weights of Hopfield's associative memory using evolutionary programming -- The application of evolutionary computation to selected problems in molecular biology -- PEPNet: Parallel evolutionary programming for constructing artificial neural networks -- Scaling behavior of the evolution strategy when evolving neuronal control architectures for autonomous agents -- Swarm: An object oriented simulation platform applied to markets and organizations -- An agent-based computational model for the evolution of trade networks -- Performance enhanced genetic programming -- Comparing subtree crossover with macromutation -- Musica ex machina: Composing 16th-century counterpoint with genetic programming and symbiosis -- Design of a high-gain operational amplifier and other circuits by means of genetic programming -- Modeling speculators with genetic programming -- Fast evolution strategies -- Airspace congestion smoothing by stochastic optimization -- Evolian: Evolutionary optimization based on lagrangian with constraint scaling -- Solving static and dynamic fuzzy constraint networks using evolutionary hill-climbing -- Applying family competition to evolution strategies for constrained optimization -- Multi-operator evolutionary programming: A preliminary study on function optimization -- Supporting polyploidy in genetic algorithms using dominance vectors -- An individually variable mutation-rate strategy for genetic algorithms -- Inductive learning of mutation step-size in evolutionary parameter optimization -- A note on the escape probabilities for two alternative methods of selection under Gaussian mutation -- Raising theoretical questions about the utility of genetic algorithms -- Some geometric and algebraic results on crossover -- An analysis of evolutionary algorithms based on neighbourhood and step sizes -- Structuring pattern generalization through evolutionary techniques -- A cultural algorithm framework to evolve multiagent cooperation with evolutionary programming -- Tracking extrema in dynamic environments -- The dynamics of evolution strategies in the optimization of traveling salesman problems -- Exploring self-adaptive methods to improve the efficiency of generating approximate solutions to traveling salesman problems using evolutionary programming -- Optimizing fuel distribution through evolutionary programming -- Investigating parallel genetic algorithms on job shop scheduling problems -- Using evolutionary programming for finite element problems -- Gaining insight into evolutionary programming through landscape visualization: An investigation into IIR filtering -- Evolution of intelligently interactive behaviors for simulated forces -- Combining robot control strategies using genetic algorithms with memory -- Using cultural algorithm with evolutionary computing to extract site location decisions from spatio-temporal databases.
520 _aThis book constitutes the refereed proceedings of the 6th International Conference on Evolutionary Programming, EP 97, held in Indianapolis, IN, USA, in April 1997. The 36 revised full papers presented were carefully selected for inclusion in the proceedings. The papers are organized in sections on evolutionary methods for modeling and training, alternative frameworks for the computational study of evolutionary social systems, genetic programming: issues and applications, issues in evolutionary optimization, enhanced evolutionary operators, theory and analysis of evolutionary computations, issues in adaptability: theory and practice, and evolution and NP-hard problems.
650 0 _aComputer simulation.
650 0 _aArtificial intelligence.
650 0 _aComputer programming.
650 0 _aComputer science.
650 0 _aAlgorithms.
650 0 _aComputer networks .
650 1 4 _aComputer Modelling.
650 2 4 _aArtificial Intelligence.
650 2 4 _aProgramming Techniques.
650 2 4 _aTheory of Computation.
650 2 4 _aAlgorithms.
650 2 4 _aComputer Communication Networks.
700 1 _aAngeline, Peter J.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aReynolds, Robert G.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMcDonnell, John R.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aEberhart, Russ.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540627883
776 0 8 _iPrinted edition:
_z9783662198346
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v1213
856 4 0 _uhttps://doi.org/10.1007/BFb0014795
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