In case the objective function to be minimized is not known analytically and no assumption can be made about the single extremum, global optimization (GO) methods must be used. Pap...
Abstract. Dynamic optimization using evolutionary algorithms is receiving increasing interests. However, typical test functions for comparing the performance of various dynamic opt...
In this paper we address the problem of finding an object in a polygonal environment as quickly as possible on average, with a team of mobile robots that can sense the environment...
Alejandro Sarmiento, Rafael Murrieta-Cid, Seth Hut...
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
In this paperweconsidertheproblemof schedulingdifferentclasses of customerson multiple distributed serversto minimize an objective function basedon per-classmeanresponsetimes.This...