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 …

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 …

Finding exact solutions to many combinatorial optimization problems in busi ness,
engineering, and science still poses a real challenge, despite the impact of recent advances …

The first edition of the Handbook of Metaheuristics was published in 2003 under the
editorship of Fred Glover and Gary A. Kochenberger. Given the numerous developments …

Heuristic methods are used when rigorous ones are either unknown or cannot be applied,
typically because they would be too slow. A metaheuristic is a general optimization …

Heuristics are strategies using readily accessible, loosely applicable information to control
problem solving. Algorithms, for example, are a type of heuristic. By contrast, Metaheuristics …

A metaheuristic is a high-level problem-independent algorithmic framework that provides a
set of guidelines or strategies to develop heuristic optimization algorithms (Sörensen and …

In many decision problems, eg from the area of production and logistics manage ment, the
evaluation of alternatives and the determination of an optimal or at least suboptimal solution …

Our globalized world brings us increasing complexity and many computationally hard
problems. Metaheuristics are mathematical optimization methods that have become a …

We present a state-of-the-art survey of parallel meta-heuristic developments and results,
discuss general design and implementation principles that apply to most meta-heuristic …