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Titlebook: Cell Mapping Methods; Algorithmic Approach Jian-Qiao Sun,Fu-Rui Xiong,Carlos Hernández Book 2019 Springer Nature Singapore Pte Ltd. 2019 Ce

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Subdivisionability. However, this comes with a significantly higher computational effort, particularly when the dimension of the cell state space is high and the SCMs are constructed for the entire cell state space. Instead of using fixed cell sizes, one may iteratively shrink down the sizes of the cells during the run of the algorithm.
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Multi-objective Optimizationn literature. As one general example, consider the design of a product where two important objectives are commonly to minimize the cost of the product in order to maximize the profit as well as to maximize its quality.
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Optimization in Economics and Financee responses including equilibrium states, periodic motions, chaotic attractors as well as domains of attraction of these steady-state responses. The cell mapping methods have been applied to deterministic, stochastic and fuzzy dynamical systems. Two important extensions of the cell mapping methods h
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https://doi.org/10.1007/b105033ability. However, this comes with a significantly higher computational effort, particularly when the dimension of the cell state space is high and the SCMs are constructed for the entire cell state space. Instead of using fixed cell sizes, one may iteratively shrink down the sizes of the cells durin
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Modelling Sustainable Development,t years due to the fact that in several fields such as physics and chemistry there exist problems that are highly time consuming. There are examples where function evaluations can take days or weeks [121, 122]. In some cases these problems can be divided into independent sections and thus benefit fr
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https://doi.org/10.1007/b105033ability. However, this comes with a significantly higher computational effort, particularly when the dimension of the cell state space is high and the SCMs are constructed for the entire cell state space. Instead of using fixed cell sizes, one may iteratively shrink down the sizes of the cells during the run of the algorithm.
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https://doi.org/10.1007/978-981-13-0457-6Cell mapping method; Parallel computing; Global analysis; Nonlinear dynamics; Multi-objective optimizati
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