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AN EVOLUTIONARY ALGORITHM PARTIALLY INSPIRED IN THE VERTEBRATES' IMMUNE SYSTEM FOR PERFORMING NUMERICAL OPTIMIZATION

机译:椎骨免疫系统中部分启发的用于进行数值优化的进化算法

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摘要

The Immune System of Jawed Vertebrates (ISJV) is the most evolved of the immune systems, it has inspired the investigators in the development of solutions for problems in the field of computer sciences. It is able to evolve inside the organism it defends in order to identify and mark progressively better the pathogens that may threaten the organism's health. A group of mechanism used by the ISJV to better its recognition of pathogens is called Affinity Maturation (AM). One of these known mechanisms is the Somatic Hypermutation (SH) of the B lymphocytes (specialized cells of ISJV). Some researchers believe that another mechanism: the Receptor Editing (RE) of the B lymphocytes also acts during AM. In this paper, an algorithm inspired in AM with RE in combination with the crossover operator is proposed for making numerical optimization. The algorithm is tested with some constrained problems shown n and one unconstrained minimax problem. The proposed algorithm worked well.
机译:下颌脊椎动物的免疫系统(ISJV)是免疫系统中最先进的系统,它激发了研究人员开发计算机科学领域问题的解决方案的能力。它能够在其防御的生物体内进化,以便更好地识别和标记可能威胁生物健康的病原体。 ISJV用来更好地识别病原体的一组机制称为亲和力成熟(AM)。这些已知机制之一是B淋巴细胞(ISJV的特殊细胞)的体细胞超突变(SH)。一些研究人员认为,另一种机制:AM期间B淋巴细胞的受体编辑(RE)也起作用。在本文中,提出了一种基于RE的AM启发式算法和交叉算子,以进行数值优化。测试了该算法,其中显示了n个约束问题和一个minimax问题。提出的算法效果很好。

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