Ramadas, Gisela C. V.Fernandes, Edite M. G. P.2014-01-242014-01-2420131312-885X1314-7552http://hdl.handle.net/10400.22/3461The main goal of this paper is to analyze the behavior of nonmono- tone hybrid tabu search approaches when solving systems of nonlinear inequalities and equalities through the global optimization of an appro- priate merit function. The algorithm combines global and local searches and uses a nonmonotone reduction of the merit function to choose the local search. Relaxing the condition aims to call the local search more often and reduces the overall computational e ort. Two variants of a perturbed pattern search method are implemented as local search. An experimental study involving a variety of problems available in the lit- erature is presented.engInequalities and equalitiesTabu searchPattern searchMerit functionNonmonotone conditionjournal article10.12988/ams.2013.13043