Journal of Computer and System Sciences
An orthogonal genetic algorithm with quantization for globalnumerical optimization
IEEE Transactions on Evolutionary Computation
Intelligent evolutionary algorithms for large parameter optimization problems
IEEE Transactions on Evolutionary Computation
A Quantum-Inspired Evolutionary Algorithm Based on P systems for Knapsack Problem
Fundamenta Informaticae
Membrane computing as a modeling framework: cellular systems case studies
SFM'08 Proceedings of the Formal methods for the design of computer, communication, and software systems 8th international conference on Formal methods for computational systems biology
Information Sciences: an International Journal
An improved membrane algorithm for solving time-frequency atom decomposition
WMC'09 Proceedings of the 10th international conference on Membrane Computing
A Quantum-Inspired Evolutionary Algorithm Based on P systems for Knapsack Problem
Fundamenta Informaticae
A membrane algorithm with quantum-inspired subalgorithms and its application to image processing
Natural Computing: an international journal
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Inspired by Membrane Computing, this paper presents an optimization algorithm for the problems with large feasible space and large parameters. The algorithm consists of two parts. One is to determine the good area and another is a fast searching tool.The comparisons among some evolutionary algorithms illuminate that the algorithm is simple and computes fast with high precision on optimal problems.