Local beam search is an algorithm that maintains a limited set (beam) of the best candidates solutions found during its search. It generates the successors of the current candidates and selects the best k successors to proceed to the next iteration. Two examples are provided where the beam is set to 2 and 3 respectively. The algorithm terminates when a solution state is found among the successors or no improvement is seen after exploring all successors.