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- W1599483775 abstract "Simulated annealing has been applied to a wide range of problems: combinatorial and continuous optimizations. This work approaches a new class of problems in which the objective function is discrete but the parameters are continuous. This type of problem arises in rotational irregular packing problems. It is necessary to placemultiple items inside a container such that there is no collision between the items, while minimizing the items occupied area. A feedback is proposed to control the next candidate probability distribution, in order to increase the number of accepted solutions. The probability distribution is controlled by the so called crystallization factor. The proposed algorithm modifies only one parameter at a time. If the new configuration is accepted then a positive feedback is executed to result in larger modifications. Different types of positive feedbacks are studied herein. If the new configuration is rejected, then a negative feedback is executed to result in smaller modifications. For each non-placed item, a limited depth binary search is performed to find a scale factor that, when applied to the item, allows it to be fitted in the layout. The proposed algorithm was used to solve two different rotational puzzles. A geometrical cooling schedule is used. Consequently, the proposed algorithm can be classified as simulated quenching." @default.
- W1599483775 created "2016-06-24" @default.
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- W1599483775 date "2012-08-29" @default.
- W1599483775 modified "2023-09-23" @default.
- W1599483775 title "Adaptive Neighborhood Heuristics for Simulated Annealing over Continuous Variables" @default.
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- W1599483775 doi "https://doi.org/10.5772/50302" @default.
- W1599483775 hasPublicationYear "2012" @default.
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