RT Journal Article
T1 The component model for elementary landscapes and partial neighborhoods
A1 Whitley, L. Darrell
A1 Sutton, Andrew M.
A1 Ochoa, Gabriela
A1 Chicano-García, José-Francisco
K1 Laplace, Operador de
AB Local search algorithms exploit moves on an adjacency graph of the search space. An “elementary landscape” exists if the objective function f is an eigenfunction of the Laplacian of the graph induced by the neighborhood operator; this allows various statistics about the neighborhood to be computed in closed form. A new component based model makes it relatively simple to prove that certain types of landscapes are elementary. The traveling salesperson problem, weighted graph (vertex) coloring and the minimum graph bisection problem yield elementary landscapes under commonly used local search operators. The component model is then used to efficiently compute the mean objective function value over partial neighborhoods for these same problems. For a traveling salesperson problem over n cities, the 2-opt neighborhood can be decomposed into ⌊n/2−1⌋ partial neighborhoods. For graph coloring and the minimum graph bisection problem, partial neighborhoods can be used to focus search on those moves that are capable of producing a solution with a strictly improving objective function value.
YR 2014
FD 2014-09-29
LK http://hdl.handle.net/10630/8134
UL http://hdl.handle.net/10630/8134
LA eng
NO Theoretical Computer Science, 545, (2014), pp. 59-75
NO Air Force Office of Scientific Research, Air Force Materiel Command, USAF, under grant number FA9550-08-1-0422.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026