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Applications and Advantages of Genetic Algorithm

Some of the applications and characteristics of genetic algorithm as described as following.

Applications and Advantages of Genetic Algorithm

 

Some of the applications and characteristics of genetic algorithm as described as following.

 

®   GA is a randomized search and optimization technique guided by the principle of natural genetic systems.

 

®   The GA is being applied to a wide range of optimization and learning problems in many domains.

 

®   GAs also lend themselves well to power system optimization problems.

 

®   GAs solve problems using principles inspired by natural population genetics.

 

®   GAs can provide globally optimal solutions.

 

®   GAs work with a coding of the parameter set, not the parameters themselves. Therefore, they can easily handle integral variables.

 

®   GAs use probabilistic transition rules, non deterministic rules.

 

®              GAs are used to solve the problems like job shop problem, optimization problems, skill based employee allocation problems, scheduling of job shop problems etc.

 

® GA performs always multidirectional search by maintaining a population of potential solutions.

 

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