ISBN: 9783540497721

Evolutionary computation is a class of problem optimization methodology with the inspiration from the natural evolution of species. In nature, the population of a species evolves by means… Mehr…

Evolutionary computation is a class of problem optimization methodology with the inspiration from the natural evolution of species. In nature, the population of a species evolves by means of selection and variation. These two principles of natural evolution form the fundamental of evolutionary - gorithms (EAs). During the past several decades, EAs have been extensively studied by the computer science and arti?cial intelligence communities. As a classofstochasticoptimizationtechniques,EAscanoftenoutperformclassical optimization techniques for di?cult real world problems. Due to the ease of use and robustness, EAs have been applied to a wide variety of optimization problems. Most of these optimization problems ta- led are stationary and deterministic. However, many real-world optimization problems are subjected to dynamic and uncertain environments that are often impossible to avoid in practice. For example, the ?tness function is uncertain or noisy as a result of simulation errors, measurement errors or approximation errors. In addition, the design variables or environmental conditions may also perturb or change over time. For these dynamic and uncertain optimization problems, the objective of the EA is no longer to simply locate the global optimum solution, but to continuously track the optimum in dynamic en- ronments, or to ?nd a robust solution that operates optimally in the presence of uncertainties. This poses serious challenges to classical optimization te- niques and conventional EAs as well. However, conventional EAs with proper enhancements are still good tools of choice for optimization problems in - namic and uncertain environments., Springer<

2007, ISBN: 9783540497721

Editor: Yang, Shengxiang, Editor: Ong, Yew-Soon, Editor: Jin, Yaochu, Springer, Hardcover, Auflage: 2007, 628 Seiten, Publiziert: 2007-03-07T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.… Mehr…

Editor: Yang, Shengxiang, Editor: Ong, Yew-Soon, Editor: Jin, Yaochu, Springer, Hardcover, Auflage: 2007, 628 Seiten, Publiziert: 2007-03-07T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: 89 black & white tables, biography, 1.1 kg, AI & Machine Learning, Computer Science, Computing & Internet, Subjects, Books, Algorithms, Programming, Engineering Physics, Engineering & Technology, Science, Nature & Maths, Applied Mathematics, Probability & Statistics, Chaos & Dynamic Systems, Scientific, Technical & Medical, Statistics & Probability, Format: Illustrated, Springer, 2007<

2007, ISBN: 3540497722

2007 Gebundene Ausgabe Programmieren (EDV) / Evolutionär, Mathematik für Ingenieure, Künstliche Intelligenz, algorithm; algorithms; ArtificialIntelligence; datamining; evolution; evolut… Mehr…

2007 Gebundene Ausgabe Programmieren (EDV) / Evolutionär, Mathematik für Ingenieure, Künstliche Intelligenz, algorithm; algorithms; ArtificialIntelligence; datamining; evolution; evolutionaryalgorithm; evolutionarycomputation; evolutionarystrategies; geneticalgorithms; geneticprogramming; intelligence; modeling; neuralnetworks; Optimization; uncertainty, mit Schutzumschlag 11, [PU:Springer Berlin Heidelberg; Springer-Verlag GmbH]<

2007, ISBN: 3540497722

Gebundene Ausgabe

[EAN: 9783540497721], Neubuch, [PU: Springer Verlag], 1st edition. 605 pages. 9.25x6.25x1.50 inches. This item is printed on demand., Books

2007, ISBN: 3540497722

[EAN: 9783540497721], Neubuch, [PU: Springer], New. In shrink wrap. Looks like an interesting title!, Books