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The problem has three features: huge search space, multi-objective, and high variability.
Variables selection is challenging task due mainly to huge search space.
The traditional routing algorithm suffers a bad exponential time complexity due to the huge search space.
Multi-objective GAs are used to look for optimal solutions in a huge search space.
On the other hand, applications with high communication demands have a huge search space that can be explored.
A Particle Swarm Optimization (PSO) based subset search algorithm is introduced to search the best subset according to the proposed metric in the huge search space.
Similar(38)
Transit network optimization is a complex combinatorial problem due to huge search spaces of route network, vehicle headways, and timetables.
GA has been successfully applied to combinatorial problems and is able to handle huge search spaces as those arising in scheduling problems [33].
The results show that evolutionary algorithms are valuable tools for screening and optimization of huge search spaces and can be easily adapted to direct the search towards multiple objectives.
However, many of the methods proposed in this field require the complete knowledge of the landscape and thus are inappropriate for analyzing the huge search spaces of chemical structures.
Motivated by the effectiveness of the CE method for finding near-optimal solutions in huge search spaces, this article adopts the CE-based method to search for the near-optimal position of the pilot symbols with lower least square (LS) channel estimate MSE.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com