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19 Aug 2021
Genetic algorithms are a particular class of evolutionary algorithms that use techniques inspired by evolutionary biology such as inheritance, mutation, selection, and crossover (also called recombination).
a) Optimization is a process that finds a best, or optimal, solution for a problem. Explain in your own words the three factors that are centered on optimization problems in genetic algorithms and illustrate your answers with appropriate examples.
b) In your own words, clearly discuss the applications of genetic algorithms and provide appropriate examples to explain your answers.
c) Explainin details with practical examples how two-point crossover and uniform crossover operators work in your own words.
Genetic algorithms are a particular class of evolutionary algorithms that use techniques inspired by evolutionary biology such as inheritance, mutation, selection, and crossover (also called recombination).
a) Optimization is a process that finds a best, or optimal, solution for a problem. Explain in your own words the three factors that are centered on optimization problems in genetic algorithms and illustrate your answers with appropriate examples.
b) In your own words, clearly discuss the applications of genetic algorithms and provide appropriate examples to explain your answers.
c) Explainin details with practical examples how two-point crossover and uniform crossover operators work in your own words.
16 Jan 2022