Application of bionic and immune algorithms for the solution of ambiguous problems of transportation routing

Abstract

The main objective of the study is to develop efficient methods and algorithms based on the operating principles of the immune system and evolutionary search for further search of a global optimal solution of optimization problems. It is suggested to integrate the modified evolutionary and immune algorithms to solve the set task. Transportation routing is the priority direction in the field of information technologies, industry, transport, and communication systems. Due to increasing demand of enterprises, it is impossible to ensure the efficiency of transport operations without information and software systems for analysis, planning and support of commercial solutions. Therefore, further study of artificial immune systems and algorithms and their integration with genetic algorithms aimed to solve various optimization problems and identify the class of their optimization, for which such systems and algorithms can be applied, as well as to modify the method for new applications, seems quite relevant.