Difference between t traditional and genetic algorithm
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Genetic Algorithms versus Traditional Methods
Genetic algorithms are substantially different to the more traditional search andoptimization techniques. The five main differences are:1. Genetic algorithms search a population of points in parallel, not from a single point.2. Genetic algorithms do not require derivative information or other auxiliaryknowledge; only the objective function and corresponding fitness levels influencethe direction of the search.3. Genetic algorithms use probabilistic transition rules, not deterministic rules.4. Genetic algorithms work on an encoding of a parameter set not the parameter setitself (except where real-valued individuals are used).5. Genetic algorithms may provide a number of potential solutions to a given problem and the choice of the final is left up to the user
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