Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
Global Optimization Algorithms: Theory and Application
网址居 (LinkBasket) - 海外中英文新闻网站导航!.
  • Title Global Optimization Algorithms: Theory and Application, 3rd Edition
  • Author(s) Thomas Weise
  • Publisher: Thomas Weise (2011)
  • eBook PDF (1223 pages), ePub, Kindle, etc.
  • Language: English
  • ISBN-10: N/A
  • ISBN-13: N/A
  • Share This:  

Book Description

This book is devoted to global optimization algorithms, which are methods to find optimal solutions for given problems. It especially focuses on Evolutionary Computation by discussing evolutionary algorithms, genetic algorithms, Genetic Programming, Learning Classifier Systems, Evolution Strategy, Differential Evolution, Particle Swarm Optimization, and Ant Colony Optimization.

It also elaborates on other metaheuristics like Simulated Annealing, Extremal Optimization, Tabu Search, and Random Optimization. The book is no book in the conventional sense: Because of frequent updates and changes, it is not really intended for sequential reading but more as some sort of material collection, encyclopedia, or reference work where you can look up stuff, find the correct context, and are provided with fundamentals.

About the Authors
  • Thomas Weis is a computer scientist at the Nature Inspired Computation and Applications Laboratory (NICAL) of the University of Science and Technology of China.
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • Introduction to Online Convex Optimization (Elad Hazan)

    This book presents a robust machine learning approach that contains elements of mathematical optimization, game theory, and learning theory: an optimization method that learns from experience as more aspects of the problem are observed.

  • Convex Optimization (Stephen Boyd, et al.)

    On recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples in fields such as engineering, computer science, mathematics, statistics, finance, and economics.

  • The Design of Approximation Algorithms (D. P. Williamson)

    This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization.

  • Engineering Design Optimization (Joaquim R. Martins, et al)

    The philosophy of this book is to provide a detailed enough explanation and analysis of optimization methods so that readers can implement a basic working version. Practical tips are included for common issues encountered in practical engineering design optimization.

  • Ant Colony Optimization - Techniques and Applications

    The book first describes the translation of observed ant behavior into working optimization algorithms. The Ant Colony Optimization is then introduced and viewed in the general context of combinatorial optimization.

  • Tabu Search (Wassim Jaziri)

    The goal of this book is to report original researches on algorithms and applications of Tabu Search to real-world problems as well as recent improvements and extensions on its concepts and algorithms.

Book Categories
:
Other Categories
Resources and Links