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 …

Dynamic flexible job shop scheduling is of significant importance to the implementation of
real-world manufacturing systems. In order to capture the dynamic and multi-objective …

We consider a problem faced by international aid organizations after the occurrence of a
natural disaster. A supply system with intermediate warehouses has to be established to …

Currently, stochastic optimization on the one hand and multi-objective optimization on the
other hand are rich and well-established special fields of Operations Research. Much less …

We formulate a bi-objective covering tour model with stochastic demand where the two
objectives are given by (i) cost (opening cost for distribution centers plus routing cost for a …

This paper discusses simple local search approaches for approximating the efficient set of
multiobjective combinatorial optimization problems. We focus on algorithms defined by a …

Flexible job shop scheduling in uncertain environments plays an important part in real-world
manufacturing systems. With the aim of capturing the uncertain and multi-objective nature of …

In single-objective optimization, it is well known that evolutionary algorithms also without
further adjustments can tolerate a certain amount of noise in the evaluation of the objective …

Flowshop scheduling is a well-known NP-hard problem. Sustainable scheduling problem
has recently attracted the attention of researchers due to the importance of energy and …

This paper presents a multiple reference point approach for multi-objective optimization
problems of discrete and combinatorial nature. When approximating the Pareto Frontier …