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Theoretical issues and modern problems concerning development of cognitive bioinspiral optimization algorithms (a survey).

Rodzin Sergey Ivanovich

PhD in Technical Science

Professor, Department of Software and Computer Usage, Southern Federal University

347928, Russia, Rostovskaya oblast', g. Taganrog, ul. Chekhova, 80-1

srodzin@yandex.ru
ƒругие публикации этого автора
 

 
Kureichik Vladimir Viktorovich

Doctor of Technical Science

Professor, Department of Computer Aided Design, Southern Federal University

347928, Russia, Rostovskaya oblast', g. Taganrog, per. Nekrasovskii, 44, of. G-435

vkur@sfedu.ru
ƒругие публикации этого автора
 

 

DOI:

10.25136/2306-4196.2017.3.18659

Review date:

05-04-2016


Publish date:

26-07-2017


Abstract: An overview concerns topical issues and the current situation regarding cognitive bioinspiral optimization algorithms research. Optimization problems form the majority among the many problems, which are faced by the researchers in the theoretical sphere as well as in the sphere of practical application. For some such problems the solution requires a full search for options. However, the dimensions of these problems are such that the implementation of the search for options is almost impossible  due to  the extremely high time costs. An alternative approach to solving these problems involves the application of methods based on the methodology of cognitive bioinspiral algorithms. When the computer systems became sufficiently fast and inexpensive, the bioengineered algorithms formed an important tool for finding solutions close to optimal solutions for the problems,which were previously been considered insoluble. The methodological and theoretical basis of the survey was found in the provisions of the theory of artificial intelligence and bioinspired computing, decision theory and optimization methods. The review includes a list of world scientific schools and scientists who have made a significant contribution to the development of cognitive bioinspiral algorithms, and also a brief description of the classification, terminology and libraries of bioengineered algorithms. A classical result is presented in the theory of cognitive bioinspiral algorithms - the CPT theorem and the NFL-theorem. The authors provide analysis of regularities, basic elements and structure of cognitive bioinspired calculations, they analyze the issues concerning  representation (coding) of solutions, basic cycle of bioinspired algorithms, extension of cognitive capabilities of operators of bioinspiral algorithms, and drift analysis as a promicing direction in  the sphere of  time of cognitive bioinspiral algorithms analysis.


Keywords: metaheuristics, fitness function, evolutionary computation, evolution operator, NFL-theorem, drift analysis, optimization, modeling, programming, cognitive bioinspired algorithm
This article written in Russian. You can find full text of article in Russian here .

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