Computer
Journal of Computer and System Sciences
P systems with active membranes: attacking NP-complete problems
Journal of Automata, Languages and Combinatorics
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Theoretical Computer Science - Natural computing
Genetic Algorithm Based-On the Quantum Probability Representation
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Solving multidimensional 0--1 knapsack problem by P systems with input and active membranes
Journal of Parallel and Distributed Computing
A membrane algorithm for the min storage problem
WMC'06 Proceedings of the 7th international conference on Membrane Computing
WMC'06 Proceedings of the 7th international conference on Membrane Computing
An optimization algorithm inspired by membrane computing
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
WMC'05 Proceedings of the 6th international conference on Membrane Computing
Evolutionary computation: comments on the history and current state
IEEE Transactions on Evolutionary Computation
Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
IEEE Transactions on Evolutionary Computation
Quantum-inspired evolutionary algorithms: a survey and empirical study
Journal of Heuristics
An improved membrane algorithm for solving time-frequency atom decomposition
WMC'09 Proceedings of the 10th international conference on Membrane Computing
Evolutionary design of a simple membrane system
CMC'11 Proceedings of the 12th international conference on Membrane Computing
Membrane quantum particle swarm optimisation for cognitive radio spectrum allocation
International Journal of Computer Applications in Technology
Analyzing radar emitter signals with membrane algorithms
Mathematical and Computer Modelling: An International Journal
A membrane algorithm with quantum-inspired subalgorithms and its application to image processing
Natural Computing: an international journal
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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.