The researchers have demonstrated the ability of this method for solving hard combinatorial problems of practical size in reasonable time. Highlighted in METAHEURISTICS: Progress in Complex Systems Optimization is the latest development made in the area of Simulated Annealing, Relinking Path, Scatter Search, Tabu Search, Variable Environment Search, Hyper-heuristics, Constraint Programming, iteration Local Search, GRASP, bio-inspired algorithms such as Genetic Algorithm, Memetic Algorithms, Ant Colony Optimization or Swarm Intelligence, and other paradigms. Providing tutorials are some of the leading researchers in Metaheuristics: Edmund Burke, Reuven Rubinstein, Eric Taillard, Gilles Pesant, Pierre Hansen, and Stefan Vo? Intended application is anticipated to include production planning, machine and project scheduling, traveling salesman and vehicle routing, packaging, backpacks and location problem with design layout, portfolio selection, network, design, health care, energy and environmental planning, data mining, pattern classification and biotechnology, among others. The purpose of this book is to provide certain types of information: a delineation method Metaheuristics general, a number of articles state-of-the-art from various famous classical application areas as well as prospects for modern computational methods of promising new areas.