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A Quantum-Inspired Evolutionary Algorithm Based on P systems for Knapsack Problem
118
Citations
12
References
2008
Year
Hierarchical ArrangementQuantum ComputingEngineeringQuantum Optimization AlgorithmIntelligent OptimizationEvolutionary AlgorithmP SystemQuantum AlgorithmGenetic AlgorithmP SystemsEvolutionary AlgorithmsCombinatorial OptimizationKnapsack ProblemQuantum-inspired Evolutionary AlgorithmEvolution-based MethodQuantum AlgorithmsEvolutionary Programming
This paper introduces an evolutionary algorithm which uses the concepts and principles of the quantum-inspired evolutionary approach and the hierarchical arrangement of the compartments of a P system. The P system framework is also used to formally specify this evolutionary algorithm. Extensive experiments are conducted on a well-known combinatorial optimization problem, the knapsack problem, to test the effectiveness of the approach. These experimental results show that this evolutionary algorithm performs better than quantum-inspired evolutionary algorithms, for certain arrangements of the compartments of the P system structure utilized. (This work is supported by the National Natural Science Foundation of China (60702026, 60572143).)
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