Ever since the times of Henry Ford up to today's industry 4.0 era, flow-oriented assembly
processes, where an assembly line conveys the workpieces from workstation to workstation …

Several issues have been reported with the expansion of the electric power grid and the
increasing use of intermittent power sources, such as the need for expensive transmission …

A bilevel programming model represents the relationship in a specific decision process that
involves decisions within a hierarchical structure of two levels. The upper-level problem is …

Introducing a novel meta-heuristic optimization algorithm, the Flood Algorithm (FLA) draws
inspiration from the intricate movement and flow patterns of water masses during flooding …

Hyper-heuristics are search techniques for selecting, generating, and sequencing (meta)-
heuristics to solve challenging optimization problems. They differ from traditional (meta) …

The inventory-routing problem (IRP) dates back 30 years. It can be described as the
combination of vehicle-routing and inventory management problems, in which a supplier …

A History of Metaheuristics arxiv:1704.00853v1 [cs.AI] 4 Apr 2017 Page 1 A History of
Metaheuristics ∗ Kenneth Sörensen Marc Sevaux Fred Glover Abstract This chapter …

This is not so much a foreword as a testimonial. As I embarked on the pleasant journey of
reading through the chapters of this book, I became convinced that this is one of the best …

Didaktisch effektives und effizientes Standardwerk in der 9. Auflage: Dieses Buch entstand
aus Vorlesungen zur Einführung in Operations Research (OR) für Studierende der Betriebs …

Classical optimization algorithms are insufficient in large scale combinatorial problems and
in nonlinear problems. Hence, metaheuristic optimization algorithms have been proposed …