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What is Artificial Immune System (AIS)

Chapter 26
Handbook of Research on Emergent Applications of Optimization Algorithms
It is a type of computationally intelligent systems inspired by the principles and processes of the vertebrate immune system.
Published in Chapter:
Optimization of Antenna Design Problems Using Binary Differential Evolution
Sotirios K. Goudos (Aristotle University of Thessaloniki, Greece)
Copyright: © 2018 |Pages: 23
DOI: 10.4018/978-1-5225-2990-3.ch026
Abstract
Differential Evolution (DE) is a popular evolutionary algorithm that has been applied to several antenna design problems. However, DE is best suited for continuous search spaces. Therefore, in order to apply it to combinatorial optimization problems for antenna design a binary version of the DE algorithm has to be used. In this chapter, the author presents a design technique based on Novel Binary DE (NBDE). The main benefit of NBDE is reserving the DE updating strategy to binary space. This chapter presents results from design cases that include array thinning, phased array design with discrete phase shifters, and conformal array design with discrete excitations based on NBDE.
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Chapter 18
A Comparison for Optimal Allocation of a Reliability Algorithms Production System
In computer science, artificial immune systems (AIS) are a class of computationally intelligent systems inspired by the principles and processes of the vertebrate immune system. The algorithms typically exploit the immune system's characteristics of learning and memory to solve a problem. The field of Artificial Immune Systems (AIS) is concerned with abstracting the structure and function of the immune system to computational systems, and investigating the application of these systems towards solving computational problems from mathematics, engineering, and information technology. AIS is a sub-field of Biologically-inspired computing, and Natural computation, with interests in Machine Learning and belonging to the broader field of Artificial Intelligence.
Published in Chapter: A Comparison for Optimal Allocation of a Reliability Algorithms Production System; From: Handbook of Research on Artificial Intelligence Techniques and Algorithms
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