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Optimization of Mass Concrete Construction Using a Twofold Parallel Genetic Algorithm
2018
Applied Sciences
This paper presents a solution strategy, based on a parallel Genetic Algorithm (GA), to optimize the construction of massive concrete structures. The optimization process aims at minimizing the construction cost, considering the following design variables: the concrete mixes, the placing temperature, the height of the lifts, and the time intervals between placing the lifts. The cracking tendency is taken into account by a penalty scheme imposed to the fitness function of the GA. A
doi:10.3390/app8030399
fatcat:oqzk2llgwjaxfomlwcahs5buju