Quantum-Inspired Genetic Algorithm for a Class of Combinatorial Optimizatio

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Date

2016

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FACULTY OF MATHEMATICS AND INFORMATICS-UNIVERSITY MOHAMED BOUDIAF OF M'SILA

Abstract

The quantum-inspired evolutionary algorithm is new area of intelligent computation. In this work we propose a new quantum inspired genetic algorithm, to solve a class of combinatorial optimization problems. our QIGA is applied to the 0-1 Knapsack problem to evaluation and validation.

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Keywords

QIGA, Quantum Computing , Genetic Algorithms, Knapsack Problem

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