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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