Genetic Algorithms Sample Clauses

The 'Genetic Algorithms' clause defines the rules and parameters governing the use of genetic algorithms within a given agreement or project. It typically outlines how these algorithms may be implemented, the scope of their application, and any requirements for transparency or performance benchmarks. For example, it may specify the types of data that can be processed, the ownership of algorithmic outputs, or compliance with ethical standards. The core function of this clause is to ensure that the deployment of genetic algorithms is clearly regulated, minimizing misunderstandings and managing risks associated with their use.
Genetic Algorithms. The genetic method for exploring a design space takes its inspiration from the natural process of genetics and evolution. In its simplest form it starts by generating a number of random designs and each one is simulated to obtain its objective values. The designs are then ranked according to the results and the process of building the next generation begins by choosing a pair of designs to act as as parents. Two new designs are generated by combining the parameters values of the two parents such that the two parents parameter values are shared between the two offspring, with a small chance the one or more of those parameters will be mutated to have a different value. The new designs are tested via simulated to obtain their objective values and then the process starts again. The DSE driver here needs the parameters and their allowed values, it is a closed loop method and so requires the simulation results and it also needs various tuning parameters such as the probability of parameter mutation and the number of elite individuals to maintain.
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