The finite element method: linear static and dynamic finite by Thomas J. R. Hughes

By Thomas J. R. Hughes

Directed in the direction of scholars with out in-depth mathematical education, this article is meant to aid engineering and actual technological know-how scholars in cultivating finished abilities in linear static and dynamic finite point technique. integrated are a complete presentation and research of algorithms of time-dependent phenomena plus beam, plate, and shell theories derived without delay from three-d elasticity thought. an awesome primer for extra complex works in this topic. short word list of Notations.

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Furthermore, the steady state evolutionary approach is replaced by a generational elitist EA. Preliminary experiments showed that these modifications gave better results and faster convergence (results not shown). Parameter settings: Window of adaptation (W): 100 individuals, Interval of adaptation (I): 20–50 evaluations, Shift percentage (S): 15%, Percentage of reward to pass back (P): 90%, Number of generations to pass back (M): 10. 2 The ADOPP Algorithm Julstrom’s Adaptive Operator Probabilities algorithm (ADOPP) [4] from 1995 is very similar to Davis’ approach.

First, we follow Levine and Ducatelle (2004) and group items according to their lengths. However, we then relate the lengths of an item to be packed to the filling degree of the current bin. Thus, we disregard the information about which items are already in the bin. Rather, the only thing that is important is how much space is left in the bin. 1 An entry in this matrix is thus denoted by where is the length of item and is the filling degree of a bin before item is to be filled in. By doing so we directly emphasize the importance to fill a bin as good as possible as opposed to emphasizing certain combinations of items that fill a bin as good as possible.

More precisely, a Hybrid Max-Min Ant System (denoted by HACO) is used. The solution construction mechanism used in this approach is based on the FFD heuristic and pheromone decoding is based on the pairwise favorability of item lengths in the same bin. The local search employed to improve the ants’ solutions is again based on the dominance result of Martello and Toth (1990). However, Levine and Ducatelle (2004) restrict the number of items to be replaced to two. The results show that the HACO approach finds comparable results to the HGGA.

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