Der Artikel bietet einen Überblick und eine kommentierte Bibliographie über die Forschung
in multikriterieller kombinatorischer Optimierung (MOCO, multiple objective combinatorial …

Selecting the “best” project portfolio out of a given set of investment proposals is a common
and often critical management issue. Decision-makers must regularly consider multiple …

Multiobjective evolutionary algorithms (MOEAs) have been the subject of numerous studies
over the past 20 years. Recent work has highlighted the use of an active archive of elite …

This chapter provides an annotated bibliography of multiple objective combinatorial
optimization, MOCO. We present a general formulation of MOCO problems, describe their …

This tutorial will review some of the basic concepts related to evolutionary multiobjective
optimization (ie, the use of evolutionary algorithms to handle more than one objective …

In this chapter we present a brief analysis of the current research performed on evolutionary
multiobjective optimization. After analyzing first-and second-generation multiobjective …

We consider the usage of evolutionary algorithms for multiobjective programming (MOP), ie
for decision problems with alternatives taken from a real-valued vector space and evaluated …

This chapter presents a brief review of some of the most relevant research currently taking
place in evolutionary multiobjective optimization. The main topics covered include …

We present a new multiobjective evolutionary algorithm (MOEA), called fast Pareto genetic
algorithm (FastPGA), for the simultaneous optimization of multiple objectives where each …

In this paper, we consider the problem of planning inspections and other operations within a
software development (SD) project with respect to the objectives quality (no. of defects) …