In practical applications it is common to have several conflicting objective functions to optimise. Frequently, these functions are nondifferentiable or discontinuous, could be subject to numerical noise and/or be of black-box type, preventing the use of derivative-based techniques. In this paper we give an overview of some recent developments in derivative-free multiobjective optimisation. We introduce the basic concepts and ideas commonly considered for the algorithmic development in multiobjective optimisation and review some recent classes of methods which do not make use of derivatives. In particular, we will focus on direct search methods of directional type and evolutionary multiobjective optimisation.
|Title of host publication||Volume Theme: Engineering Optimisation|
|Place of Publication||Edinburgh|
|Publication status||Published - 1 Jan 2012|
|Name||Computational Technology Reviews|