Final answer:
A Genetic/Evolutionary algorithm may find a local optimal solution to an optimization problem, but it is not guaranteed to find the global optimal solution.
Step-by-step explanation:
False
A Genetic/Evolutionary algorithm may find a local optimal solution to an optimization problem, but it is not guaranteed to find the global optimal solution. Genetic algorithms use random mutations and selection processes to search for the best possible solution, which can lead to a local optimal solution that is not the best solution overall.
For example, if a genetic algorithm is used to optimize a mathematical function with multiple peaks and valleys, it may converge to a local peak that is not the highest point on the function, missing the global optimal solution. Therefore, the statement that a Genetic/Evolutionary algorithm will always find either a local or global optimal solution to an optimization problem is false.