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Titlebook: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VI; Alexandru-Adrian Tantar,Emilia Tantar,Henri

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樓主: Negate
31#
發(fā)表于 2025-3-26 22:26:01 | 只看該作者
2194-5357 held on June 18–24, 2015 in Iasi, Romania.Written by experts.This book comprises selected research papers from the 2015 edition of the EVOLVE conference, which was held on June 18–June 24, 2015 in Ia?i, Romania. It presents the latest research on Probability, Set Oriented Numerics, and Evolutionary
32#
發(fā)表于 2025-3-27 04:11:23 | 只看該作者
https://doi.org/10.1007/978-3-662-47203-3A Cournot oligopoly is used as a benchmark for Nash equilibria tracking and detection in a dynamic setting. Several dynamics that induce different trajectories for the equilibria are considered: random, linear, cosine, and spiral. A new Extremal Optimization based method is tested on the proposed dynamic setting.
33#
發(fā)表于 2025-3-27 08:31:58 | 只看該作者
Evolving Game Strategies in a Dynamic Cournot Oligopoly SettingA Cournot oligopoly is used as a benchmark for Nash equilibria tracking and detection in a dynamic setting. Several dynamics that induce different trajectories for the equilibria are considered: random, linear, cosine, and spiral. A new Extremal Optimization based method is tested on the proposed dynamic setting.
34#
發(fā)表于 2025-3-27 09:39:26 | 只看該作者
Alexandru-Adrian Tantar,Emilia Tantar,Henri LuchiaPresents the latest research on Probability, Set Oriented Numerics, and Evolutionary Computation.Includes results of EVOLVE 2015 conference held on June 18–24, 2015 in Iasi, Romania.Written by experts
35#
發(fā)表于 2025-3-27 15:02:41 | 只看該作者
36#
發(fā)表于 2025-3-27 19:23:32 | 只看該作者
37#
發(fā)表于 2025-3-27 22:00:20 | 只看該作者
https://doi.org/10.1007/978-3-642-22152-1c algorithms are efficient and cost-effective methods to scan the highly complex search space for optimal candidate peptides. A multi-objective genetic algorithm called NGSA-II has been proposed in previous work with the aim of producing diverse high-quality peptides in a low number of generations.
38#
發(fā)表于 2025-3-28 05:21:48 | 只看該作者
nd a dynamical adaptation scheme for sets of vectors that serve as approximation sets. Two algorithmic concepts are compared: These are stochastic optimization algorithms based on cooperative particle swarms, and a deterministic optimization algorithm based on set-oriented gradients of the hypervolu
39#
發(fā)表于 2025-3-28 07:01:35 | 只看該作者
The Mathematics of Symmetry: Group Theory,liability, and complexity of binary classifiers. The example taken is the email anti-spam filtering problem..The two major goals of the optimization is to minimize the error rates that is the false negative rate and the false positive rate. Our approach discusses three-way classification, that is th
40#
發(fā)表于 2025-3-28 13:36:23 | 只看該作者
https://doi.org/10.1007/3-540-06705-1function map to a given output value. In this work we will look at a class of difficult to solve level set problems with innumerably many solutions and show how their solution sets can be approximated by robust evolutionary search methods..In particular, this paper seeks to solve noisy parameter ide
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