What is genetic algorithm ?

1 Answer

Answer :

The use of genetic algorithms is a growing application of artificial intelligence. This software uses Darwinian , randomizing and mathematical functions to simulate an evolutionary process that could create an increasingly optimal solution to a problem. Generic algorithm software is currently used to model a variety of scientific , technological and business processes. Genetic algorithms are very useful in situations where thousands of possible solutions are possible and the solutions must be evaluated to create the best solution out of them.

Related questions

Description : Who first came up with the idea of ​​Algorithm Programming ?

Last Answer : Ada was the first to express the idea of ​​loveless algorithm programming.

Description : How is genetic engineering helping people ?

Last Answer : Genetic engineering is used in various studies like agricultural production , medicine making , food preparation factories etc. This has made it possible to get improved varieties , ... widespread application of information and communication technology in almost all fields of genetic engineering.

Description : What is the difference between bioinformatics and genetic engineering ?

Last Answer : When biological problems are solved using computer technology techniques , it is called bioinformatics. Bioinformatics is a branch of science that uses computer technology , information theory, and mathematical knowledge to ... DNA is divided into many parts and a certain part of it is called gene.

Description : What are the two main features of Genetic Algorithm? a) Fitness function & Crossover techniques b) Crossover techniques & Random mutation c) Individuals among the population & Random mutation d) Random mutation & Fitness function

Last Answer : a) Fitness function & Crossover techniques

Description : A genetic algorithm (or GA) is a variant of stochastic beam search in which successor states are generated by combining two parent states, rather than by modifying a single state. a) True b) False

Last Answer : a) True

Description : How the new states are generated in genetic algorithm? a) Composition b) Mutation c) Cross-over d) Both Mutation & Cross-over

Last Answer : d) Both Mutation & Cross-over

Description : Three main basic features involved in characterizing membership function are A. Intution, Inference, Rank Ordering B. Fuzzy Algorithm, Neural network, Genetic Algorithm C. Core, Support , Boundary D. Weighted Average, center of Sums, Median

Last Answer : C. Core, Support , Boundary

Description : Genetic Algorithm are a part of A . Evolutionary Computing B. inspired by Darwin's theory about evolution - "survival of the fittest" C. are adaptive heuristic search algorithm based on the evolutionary ideas of natural selection and genetics D . All of the above

Last Answer : D . All of the above