A unified view of metaheuristics This book provides a complete background on
metaheuristics and shows readers how to design and implement efficient algorithms to solve …

Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …

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 …

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

A common problem which arises in project management is the fact that the planned
schedule is often disrupted by several uncontrollable factors like additional time that might …

This study develops a Multi-Objective Jellyfish Search (MOJS) algorithm to solve
engineering problems optimally with multiple objectives. Lévy flight, elite population, fixed …

Multiobjective programming is a part of mathematical programming dealing with decision
problems characterized by multiple and conflicting objective functions that are to be …

This paper reviews recent developments in evolutionary algorithms and visualization in the
context of multiobjective spatial decision making. A synthetic perspective is employed to …

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

The knapsack problem (KP) and its multidimensional version (MKP) are basic problems in
combinatorial optimization. In this paper, we consider their multiobjective extension (MOKP …