Applications and Advantages of Genetic Algorithm

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.