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EVOLVE – a bridge between probability, set oriented numerics, and evolutionary computation IV. Selected papers based on the presentations at the international conference, Leiden, The Netherlands, July 10–13, 2013. (English) Zbl 1386.68006

Advances in Intelligent Systems and Computing 227. Cham: Springer (ISBN 978-3-319-01127-1/pbk; 978-3-319-01128-8/ebook). xiii, 324 p. (2013).

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Publisher’s description: Numerical and computational methods are nowadays used in a wide range of contexts in complex systems research, biology, physics, and engineering. Over the last decades different methodological schools have emerged with emphasis on different aspects of computation, such as nature-inspired algorithms, set oriented numerics, probabilistic systems and Monte Carlo methods. Due to the use of different terminologies and emphasis on different aspects of algorithmic performance there is a strong need for a more integrated view and opportunities for cross-fertilization across particular disciplines.
These proceedings feature 20 original publications from distinguished authors in the cross-section of computational sciences, such as machine learning algorithms and probabilistic models, complex networks and fitness landscape analysis, set oriented numerics and cell mapping, evolutionary multiobjective optimization, diversity-oriented search, and the foundations of genetic programming algorithms. By presenting cutting edge results with a strong focus on foundations and integration aspects this work presents a stepping stone towards efficient, reliable, and well-analyzed methods for complex systems management and analysis.
The articles of mathematical interest will be reviewed individually. For the preceding conference see [Zbl 1386.68010].
Indexed articles:
Aldana-Bobadilla, Edwin; Kuri-Morales, Angel, Unsupervised classifier based on heuristic optimization and maximum entropy principle, 17-30 [Zbl 1322.68166]
Serrano, J. P.; Hernández, Arturo; Herrera, Rafael, Training multilayer perceptron by conformal geometric evolutionary algorithm, 31-45 [Zbl 1322.68185]
Hernández, Carlos; Sun, Jian-Qiao; Schütze, Oliver, Computing the set of approximate solutions of a multi-objective optimization problem by means of cell mapping techniques, 171-188 [Zbl 1322.90083]
Sosa Hernández, Víctor Adrián; Schütze, Oliver; Rudolph, Günter; Trautmann, Heike, The directed search method for Pareto front approximations with maximum dominated hypervolume, 189-205 [Zbl 1322.90090]
Naranjani, Yousef; Hernández, Carlos; Xiong, Fu-Rui; Schütze, Oliver; Sun, Jian-Qiao, A hybrid algorithm for the simple cell mapping method in multi-objective optimization, 207-223 [Zbl 1322.90088]

MSC:

68-06 Proceedings, conferences, collections, etc. pertaining to computer science
65-06 Proceedings, conferences, collections, etc. pertaining to numerical analysis
90-06 Proceedings, conferences, collections, etc. pertaining to operations research and mathematical programming
65Y99 Computer aspects of numerical algorithms
68T20 Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.)
90C29 Multi-objective and goal programming
90C59 Approximation methods and heuristics in mathematical programming
00B25 Proceedings of conferences of miscellaneous specific interest

Citations:

Zbl 1386.68010
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