Telecomunication Systems, vol. 46, pp. 253-271, 2011.
ABSTRACT
GRASP
(Greedy Randomized Adaptive Search Procedures) is a multistart
metaheuristic for producing good-quality solutions of combinatorial
optimization problems. Each GRASP iteration is usually made up of a
construction phase, where a feasible solution is constructed, and a
local search phase which starts at the constructed solution and applies
iterative improvement until a locally optimal solution is found. While,
in general, the construction phase of GRASP is a randomized greedy
algorithm, other types of construction procedures have been proposed.
Repeated applications of a construction procedure yields diverse
starting solutions for the local search. This chapter gives an overview
of GRASP describing its basic components and enhancements to the basic
procedure, including reactive GRASP and intensification strategies.