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 …

Abstract The Orienteering Problem (OP) has received a lot of attention in the past few
decades. The OP is a routing problem in which the goal is to determine a subset of nodes to …

Metaheuristics are widely recognized as efficient approaches for many hard optimization
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …

In the last 25 years, extensive research has been carried out addressing the flexible job
shop scheduling (JSS) problem. A variety of techniques ranging from exact methods to …

Network virtualization is recognized as an enabling technology for the future Internet. It aims
to overcome the resistance of the current Internet to architectural change. Application of this …

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 …

Swarm intelligence is a relatively new approach to problem solving that takes inspiration
from the social behaviors of insects and of other animals. In particular, ants have inspired a …

Stochastic local search (SLS) algorithms are among the most successful techniques for
solving computationally hard problems from computing science, operations research and …

Metaheuristics are general algorithmic frameworks, often nature-inspired, designed to solve
complex optimization problems, and they are a growing research area since a few decades …

This paper describes industrial aspects of combined inventory management and routing in
maritime and road-based transportation, and gives a classification and comprehensive …