This paper presents a state-of-the-art review on multi-objective metaheuristics for multi-
objective discrete optimization problems (MODOPs). The relevant literature source and their …

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

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 …

Decision makers in many areas, from industry to engineering and the social sector, face an
increasing need to consider multiple, conflicting objectives in their decision processes. In …

From whatever domain they come, engineers are faced daily with optimization problems that
requires conflicting objectives to be met. This monograph systematically presents several …

Scheduling and multicriteria optimisation theory have been subject, separately, to numerous
studies. Since the last twenty years, multicriteria scheduling problems have been subject to …

The success of modern heuristics (Simulated Annealing (SA), Tabu Search, Genetic
Algorithms,...) in solving classical combinatorial optimization problems has drawn the …

We provide a comprehensive overview of the literature of algorithmic approaches for
multiobjective mixed‐integer and integer linear optimization problems. More precisely, we …

Multi-objective programming is commonly used in the literature when conflicted objectives
arise in solving optimization problems. Over the past decades, classical optimization …

Multiobjective Optimization (MO) has many applications in such fields as the Internet,
finance, biomedicine, management science, game theory and engineering. However …