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Generation Scheduling Using Quantum Inspired Evolutionary Programming
Abstract
A new novel evolutionary algorithm based on principles of quantum mechanics known as quantum inspired evolutionary programming (QIEP) has emerged as a modern optimization technique. QIEP is unique than other evolutionary programming for its qubit representation and superposition of states. QIEP has proven its applicability in different combinatorial problems successfully. It can also be applied in power system optimization problem. In this paper, we have used QIEP for generation scheduling. The results were compared with genetic algorithm-based solution for the same problem. The results showed improvement for QIEP.
Keywords: Quantum inspired evolutionary programming (QIEP), generation scheduling, genetic algorithms
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PDFDOI: https://doi.org/10.37591/.v5i1.3073
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eISSN: 2249-4774