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What is Antibody-Antigen Affinity

Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies
Scalar index adopted as measure for the goodness of a solution with respect to the objective to be optimized. It is usually related to the objective value to be minimized/maximized, with or without the use of scaling or correcting factors. In multiobjective optimization this index (also referred to as avidity) is usually obtained by ranking solutions in accordance to Pareto optimality conditions
Published in Chapter:
Multiobjective Optimization and Artificial Immune Systems: A Review
Fabio Freschi (Politecnico di Tornio, Italy), Carlos A. Coello Coello (CINESTAV-IPN, Evolutionary Computation Group, Mexico), and Maurizio Repetto (Politecnico di Tornio, Italy)
DOI: 10.4018/978-1-60566-310-4.ch001
Abstract
This chapter aims to review the state of the art in algorithms of multiobjective optimization with artificial immune systems (MOAIS). As it will be focused in the chapter, Artificial Immune Systems (AIS) have some intrinsic characteristics which make them well suited as multiobjective optimization algorithms. Following this basic idea, different implementations have been proposed in the literature. This chapter aims to provide a thorough review of the literature on multiobjective optimization algorithms based on the emulation of the immune system.
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