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View all- Mani NSrivastava GSinha AMani A(2015)Effect of population structures on quantum-inspired evolutionary algorithmApplied Computational Intelligence and Soft Computing10.1155/2014/9762022014(24-24)Online publication date: 1-Jan-2015
Quantum-inspired evolutionary algorithm (QEA) has been designed by integrating some quantum mechanical principles in the framework of evolutionary algorithms. They have been successfully employed as a computational technique in solving difficult ...
The quantum-inspired evolutionary algorithm (QEA) applies several quantum computing principles to solve optimization problems. In QEA, a population of probabilistic models of promising solutions is used to guide further exploration of the search space. ...
In this paper, we propose a novel quantum-inspired evolutionary algorithm, called NQEA, for solving combinatorial optimization problems. NQEA uses a new Q-bit update operator to increase the balance between the exploration and exploitation of the search ...
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