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Genetic algorithm based technique for erection sequence generator in shipbuilding

Authors: D. Y. Yoon; R. Varghese; J. H. Yang;

Genetic algorithm based technique for erection sequence generator in shipbuilding

Abstract

Abstract In order to attain soaring heights of production targets in stringent constraints, a computer program based on a genetic algorithm (GA) has been developed. The initial block is considered as a seed or parent and related blocks as children or offspring. The parent–child relation, which is predefined in a general database structure (sorted), is used to form genetic looping that keeps on producing children through downward generations. Customization can be done according to the shipyard layout to enhance the ease of operation. The GA enables avoiding heuristic considerations and makes the program self- reliant. Conventional scheduling applications depend on backtracking, which has certain shortcomings. To make scheduling realistic and competent, a virtual shipyard simulator is developed that complies with the proposed erection sequence generator. An evalution is done to track blocks lying on a critical path, by comparing equality of the starting and the ending day of erection of the concerned block....

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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