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STUDIO UNIV. BABES BONSAI, INFORMATICA, Volume LVII, Number 1, 2012 A MEMBRANE-IMMUNE ALGORITHM FOR SOLVING THE MULTIPLE 0/1 KNAPSACK PROBLEM MAD NABIL1, AMR BADR2, AND IBRAHIM FARAG2 Abstract. In
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A membrane-immune algorithm is a computational technique inspired by the human immune system which can be used to solve optimization problems.
Anyone interested in solving optimization problems using a computational technique inspired by the human immune system may choose to file a membrane-immune algorithm.
To fill out a membrane-immune algorithm, one needs to define the optimization problem, design the algorithm, implement the algorithm using appropriate programming languages or tools, and evaluate its performance through experiments or simulations.
The purpose of a membrane-immune algorithm is to provide an alternative and potentially more effective computational technique for solving optimization problems by mimicking the behavior of the immune system.
A membrane-immune algorithm should include a detailed description of the optimization problem, the design and implementation of the algorithm, experimental or simulation results, and an analysis of the algorithm's performance and efficiency.
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