Fundamenta Informaticae · 2008 · 118 citations · 12 references
ComputingComputer ScienceAlgorithmsOptimizationQuantum ComputingCombinatorial OptimizationEvolutionary ComputationEvolutionary OptimizationGenetic AlgorithmsPopulation-based SearchQuantum AlgorithmsEvolutionary AlgorithmsKnapsack ProblemsQuantum Optimization AlgorithmsQuantum Search Algorithms
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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Gheorghe Pǎun · Journal of Computer and System Sciences · 2000 · 2.3K citations
M. Srinivas, L.M. Patnaik · Computer · 1994 · 2.2K citations