scholarly journals Fitness value of information with delayed phenotype switching: Optimal performance with imperfect sensing

2020 ◽  
Vol 102 (5) ◽  
Author(s):  
Alexander S. Moffett ◽  
Nigel Wallbridge ◽  
Carrol Plummer ◽  
Andrew W. Eckford
Keyword(s):  
Value Of Information ◽  
Optimal Performance ◽  
Fitness Value ◽  
Phenotype Switching ◽  
Imperfect Sensing

scholarly journals The fitness value of information

Oikos ◽  
2010 ◽  
Vol 119 (2) ◽  
pp. 219-230 ◽  
Author(s):  
Matina C. Donaldson-Matasci ◽  
Carl T. Bergstrom ◽  
Michael Lachmann
Keyword(s):  
Value Of Information ◽  
Fitness Value

Enhanced Artificial Intelligent Method for Representing the Photonic Crystal Fiber Profile Index

2018 ◽  
Vol 1 (1) ◽  
pp. 2-19
Author(s):  
Mahmood Sh. Majeed ◽  
Raid W. Daoud
Keyword(s):  
Genetic Algorithms ◽  
Photonic Crystal ◽  
Photonic Crystal Fiber ◽  
New Method ◽  
Proper Solution ◽  
Artificial Intelligent ◽  
Crystal Fiber ◽  
Fitness Value ◽  
First Pass ◽  
Crossover And Mutation

A new method proposed in this paper to compute the fitness in Genetic Algorithms (GAs). In this new method the number of regions, which assigned for the population, divides the time. The fitness computation here differ from the previous methods, by compute it for each portion of the population as first pass, then the second pass begin to compute the fitness for population that lye in the portion which have bigger fitness value. The crossover and mutation and other GAs operator will do its work only for biggest fitness portion of the population. In this method, we can get a suitable and accurate group of proper solution for indexed profile of the photonic crystal fiber (PCF).

ALGORITHM FOR DETERMINING THE DEGREE VALUES OF CONFIDENTIAL DOCUMENTS OF THE ORGANIZATION

2017 ◽  
pp. 80-88
Author(s):  
Sergey Valerevich Belov ◽  
Irina Mikhalovna Kosmacheva ◽  
Irina Vyacheslavovna Sibikina
Keyword(s):  
Information Security ◽  
Russian Federation ◽  
Value Of Information ◽  
Weighting Factor ◽  
State Regulation ◽  
The State ◽  
Information Security Management ◽  
Pair Comparison ◽  
The Russian Federation ◽  
Properties Of Information

To solve the problem of information security management the method was proposed that allows determining the degree of importance of confidential documents of the organization. The urgency of the proposed algorithm was substantiated taking into account the requirements of the legislation of the Russian Federation in the sphere of information security. The stages prior to the formation of the list of confidential documents of the organization were described. A review of the main documents of the legal and regulatory framework was carried out including documents relating to the state regulation of relations in the sphere of information security. The classes of protected information for the accessing categories were considered. The criteria changes of the value of information in the process of time were represented. The algorithm of formation of the list of confidential documents of the organization based on the properties of information was offered. The algorithm is based on an expert method of pair comparison of alternatives. The result of the use of this method is a number of confidential documents, ranked in descending order of importance. For each document the weighting factor of importance can be calculated. The verification stage of the degree of expert consistency was included in the methodology to eliminate the use of erroneous expert data. The application of the methodology is illustrated by a calculated example.

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