Journal of Computer and System Sciences
P systems with active membranes: attacking NP-complete problems
Journal of Automata, Languages and Combinatorics
Theoretical Computer Science - Natural computing
Implementing Sorting Networks with Spiking Neural P Systems
Fundamenta Informaticae
A Quantum-Inspired Evolutionary Algorithm Based on P systems for Knapsack Problem
Fundamenta Informaticae
A P-Lingua Programming Environment for Membrane Computing
Membrane Computing
Quantum-inspired evolutionary algorithms: a survey and empirical study
Journal of Heuristics
WMC'09 Proceedings of the 10th international conference on Membrane Computing
Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
IEEE Transactions on Evolutionary Computation
Analyzing radar emitter signals with membrane algorithms
Mathematical and Computer Modelling: An International Journal
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The programmability of membrane systems is an ongoing and challenging issue. This paper focuses on the automatic design of a simple membrane system for fulfilling a specific task by using a quantum-inspired evolutionary algorithm and the P-lingua simulator. The design consists of the pre-defined membrane structure and initial objects, a set of possible evolution rules, the coding technique of membrane systems, evolutionary operators and a fitness function for evaluating different membrane systems. Experiments conducted on P-lingua simulator show that the presented design approach is feasible and effective to automatically evolve a membrane system for solving some specific tasks. The results also show that a quantum-inspired evolutionary algorithm is more appropriate than a genetic algorithm, recently reported in the literature, for designing a membrane system.