In this paper we discuss an idea of levels, which is a hierarchical nested local search based on solutions of existing global optimization approach. We implement the idea by designing an algorithm that treats random sampling, ant colony optimization algorithms for continuous domain and quantum ant colony optimization as its parent algorithms. We compare and study the results of the newly designed algorithms with their respective parent algorithms for similar test setups on certain benchmark test functions.
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