[Show abstract][Hide abstract] ABSTRACT: Differential evolution (DE) is a population based evolutionary algorithm widely used for solving multidimensional global optimization
problems over continuous spaces. On the other hand, a variation of the original quantum-inspired evolutionary algorithm (QEA),
bloch quantum-inspired evolutionary algorithm (BQEA), is a promising concept which very well suitable for handling global
optimization problem of low dimensionality. BQEA applies several quantum computing techniques such as qubit representation
based on bloch sphere and rotation gate operator, etc. This paper extends the concept of differential operators to the quantum
paradigm and proposes the bloch quantum-inspired differential evolution algorithm (BQDE). The performance of BQDE is found
to be significantly superior as compared to BQEA on several benchmark functions.
KeywordsDifferential Evolution-Bloch coordinates-Quantum-inspired Evolutionary Algorithms-Quantum Computing