Math, asked by suryansh2055, 1 year ago

Explain Genetic algorithms

Answers

Answered by Anonymous
3

Answer: The genetic algorithm is a method for solving both constrained and unconstrained optimization problems that is based on natural selection, the process that drives biological evolution. The genetic algorithm repeatedly modifies a population of individual solutions.

Step-by-step explanation: Darwin’s theory of evolution has

been the inspiration for genetic algorithms. The algorithm uses an evolutionary

process to arrive at the solution to a problem. The algorithm works using a set

of solutions known as population and functions as an essential heuristic search

method in many artificial algorithm and machine learning applications to

determine optimized solutions for search problems.

A genetic algorithm relies on bio-inspired operators like selection, crossover and mutation.

Answered by jiyasingh29
0

The genetic algorithms is a method for solving both constrained and unconstrained optimization problem that is based on natural selection, the process that derives biological evolution.The genetic algorithm repetedly modifies a population of individual solution..!!!

HOPE IT HELPS ME FRND!!!


jiyasingh29: heyy wht happenned???
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