An evolutionary algorithm partially inspired in the vertebrates' immune system for performing numerical optimization

The Immune System of Jawed Vertebrates (ISJV) is the most evolved of the immune systems [1], it has inspired the investigators in the development of solutions for problems in the field of computer sciences [2]. 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 [3]. 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 h [4] and one unconstrained minimax problem. The proposed algorithm worked well.