Shikha Gupta
ABSTRACT
We propose a numeric variant of quantum-inspired evolutionary algorithm (QIEA) where gene in the quantum chromosome is a superposition of k qubits, thus allowing the genes of the classical chromosome to take numeric values. We also present a modified form of real observation QIEA. Both these techniques are applied to the problem of partitioning a complex network. The algorithm parameters are tuned using an evolutionary bilevel search optimization technique.
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Index Terms
- Parameter tuning in quantum-inspired evolutionary algorithms for partitioning complex networks
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