Metaheuristics: Progress in Complex Systems Optimization - ISBN:0387719199

Metaheuristics: Progress in Complex Systems Optimization

Date: 15 April 2011, 09:37

Free register and download UseNet downloader, then you can FREE Download from UseNet.

Download without Limit " Metaheuristics: Progress in Complex Systems Optimization " from UseNet for FREE!

Metaheuristics has grown and continues to grow steadily. Seen both from the technical point of view and from the application-oriented side, these optimization tools have established their value in a remarkable story of success. Researchers have demonstrated the ability of these methods to solve hard combinatorial problems of practical sizes within reasonable computational time.
Highlighted in METAHEURISTICS: Progress in Complex Systems Optimization are the recent developments made in the area of Simulated Annealing, Path Relinking, Scatter Search, Tabu Search, Variable Neighborhood Search, Hyper-heuristics, Constraint Programming, Iterated Local Search, GRASP, bio-inspired algorithms like Genetic Algorithms, Memetic Algorithms, Ant Colony Optimization or Swarm Intelligence, and several other paradigms. In addition, a series of tutorials on developing areas in Metaheuristics are presented in the volume. Giving these tutorials are some of the top researchers in Metaheuristics: Edmund Burke, Reuven Rubinstein, Eric Taillard, Gilles Pesant, Pierre Hansen, and Stefan Vo?.
Applications addressed are anticipated to include production planning, machine and project scheduling, the traveling salesman and vehicle routing, packing, knapsack and location problems with layout design, portfolio selection, network-design, health care, energy and environmental planning, data mining, pattern classification and biotechnology, among others.
The aim of this book is to provide several different kinds of information: a delineation of general Metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas. Therefore, this book may equally serve as a textbook in graduate courses for students, as a reference book for people interested in engineering or social sciences, and as a collection of new and promising avenues for researchers working in this field.

Download Links:

Download Link (High Speed Download)

Download Link 1 (http://depositfiles.com/...cybq452oh)

Download Link 2 (http://uploading.com/...0387)

DISCLAIMER:

This site does not store Metaheuristics: Progress in Complex Systems Optimization on its server. We only index and link to Metaheuristics: Progress in Complex Systems Optimization provided by other sites. Please contact the content providers to delete Metaheuristics: Progress in Complex Systems Optimization if any and email us, we'll remove relevant links or contents immediately.