Cell-based genetic algorithm and simulated annealing for spatial groundwater allocation
نویسندگان
چکیده
A genetic algorithm and a simulated annealing approach is presented for the guidance of a cellular automaton toward optimal configurations. The algorithm is applied to a problem of groundwater allocation in a rectangular area consisting of adjacent land blocks and modeled as a cellular automaton. The new algorithm is compared to a more conventional genetic algorithm and its efficiency is clearly demonstrated. Also, comparison is made to a simulated annealing scheme. Finally, the proposed genetic algorithm is combined with simulated annealing to yield a new hybrid. The presented cell – based algorithm is different from related algorithms of the literature, as it relies on local interactions among land blocks. Moreover, it offers a framework for application to more general and detailed problems. Key-Words: genetic algorithm, cellular automata, groundwater, optimization, resource allocation, land use.
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