Local search techniques like simulated annealing and tabu search are b
ased on a neighborhood structure defined on a set of feasible solution
s of a discrete optimization problem. For the scheduling problems P2 /
/ C-max, 1/prec/ Sigma C-i and 1 // Sigma T-i we replace a simple neig
hborhood by a neighborhood on the set of all locally optimal solutions
. This allows local search on the set of solutions that are locally op
timal.