The word robust, when used with regard to computer software, refers to an operating system or other program that performs well not only under ordinary conditions but also under unusual conditions that stress its designers' assumptions.
A method that mimics evolution and natural selection to solve the problem.
mutation means change in genetic structure..where as crossover means interchanging the genetic structure of two or more chromosomes..
Here is the algorithm of the algorithm to write an algorithm to access a pointer in a variable. Algorithmically.name_of_the_structure dot name_of_the _field,eg:mystruct.pointerfield
Black and White bakery algorithm is more efficient.
what is algorithm and its use there and analyze an algorithm
Genetic Algorithm
A genetic algorithm acts a search heuristic that mimics the process of natural evolution. Genetic algorithms assist scientists in finding solutions in the fields of computer engineering, chemistry, math, and physics.
The PSO or Particle Swarm Optimization Program algorithm in MatLab is created by first creating a binary genetic algorithm.
A method that mimics evolution and natural selection to solve the problem.
mutation means change in genetic structure..where as crossover means interchanging the genetic structure of two or more chromosomes..
Magnus Rattray has written: 'An analysis of a genetic algorithm training the binary perception'
Here is an example MATLAB code for designing an FIR filter with a rectangular window using a genetic algorithm: % Define the desired filter specifications Fs = 1000; % Sampling frequency Fc = 100; % Cutoff frequency N = 51; % Filter order % Define the fitness function for the genetic algorithm fitnessFunc = @(x) designFIR(x, Fs, Fc); % Define the genetic algorithm options options = optimoptions('ga', 'Display', 'iter', 'MaxGenerations', 100); % Run the genetic algorithm to find the optimal filter coefficients [x, fval] = ga(fitnessFunc, N, options); % Design the FIR filter using the obtained coefficients filter = fir1(N-1, x); % Plot the frequency response of the designed filter freqz(filter, 1, 1024, Fs); In the above code, designFIR is a user-defined function that evaluates the fitness of an FIR filter design based on its frequency response. The genetic algorithm is then used to optimize the filter coefficients to meet the desired specifications. Finally, the designed filter is plotted using the freqz function.
I think it uses a special kind of algorithm called GENETIC ALGORITHM. Here is the link : http://en.wikipedia.org/wiki/Genetic_algorithm It uses backtracking: http://help.asctimetables.com/text.php?id=803&lang=en
The word robustness has one meaning. The definition of this word is, "the property of being strong and healthy in constitution." This word is an add on from the word 'robust.'
Being very strong and excellent health.
Karl Justin Edward Elisha has written: 'A K-seed genetic clustering algorithm with applications to cellular manufacturing'
Robustness has been defined by the Food and Drug Administration as "the degree to which a software system or component can function correctly in the presence of invalid inputs or stressful environmental conditions."