Overview of genetic algorithms
Genetic algorithms (GAs) belong to the group of metaheuristic optimization methods. They are based on mimicking the process of evolution in nature. Evolution refers to constant adaptation of living beings to varying conditions in the environment. Individuals with the largest ability to adapt have the best chances to survive. There is an ongoing ruthless fight for survival in nature resulting in the survival of the fittest and perishing of the weakest individuals. In order for a species to survive during evolution, it must adapt to the surrounding conditions and the environment for these constantly changes. Each succeeding generation of any species must retain the good properties of the preceding generation while improving and altering them so that the quality of individuals in the population is continuously enhanced.
Overview of genetic algorithms, Page 1 of 2
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