Explain the evolutionary algorithms

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Question: Evolutionary algorithms were introduced as general-purpose search algorithms developed with inspiration in evolutionary biology and applied for problem solving. Most of their applications are of an optimization type, but they can also be applied for design, arts, and so forth. For instance, one can use an EA to design tires for racing cars. In such a case, the tires would have to be encoded using some suitable representation, the evaluation function would have to take into account the endurance, shape, adherence to the ground in normal and wet conditions, etc., and the evaluation function would have to allow the distinction between candidate solutions (individual chromosomes) to your problem.

Suggest a novel application for an evolutionary algorithm. This can be from your domain of expertise or any field of your interest. Provide a suitable representation, objective, and evaluation function. If you are using a binary representation, then the crossover and mutation operators described may be suitable for evolving a population of candidate solutions. However, if the representation chosen is not binary, suggest new crossover and mutation operators suitable for the proposed representation.

Reference no: EM131468382

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