Home » Multi Objective Optimization in Computational Intelligence Theory and Practice

Multi Objective Optimization in Computational Intelligence Theory and Practice Book [PDF] Download

Download the fantastic book titled Multi Objective Optimization in Computational Intelligence Theory and Practice written by Thu Bui, Lam, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Multi Objective Optimization in Computational Intelligence Theory and Practice", which was released on 31 May 2008. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.

Summary of Multi Objective Optimization in Computational Intelligence Theory and Practice by Thu Bui, Lam PDF

Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices.

Multi Objective Optimization in Computational Intelligence Theory and Practice

Detail About Multi Objective Optimization in Computational Intelligence Theory and Practice PDF

  • Author : Thu Bui, Lam
  • Publisher : IGI Global
  • Genre : Technology & Engineering
  • Total Pages : 496 pages
  • ISBN : 1599045001
  • PDF File Size : 22,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

Clicking on the GET BOOK button will initiate the downloading process of Multi Objective Optimization in Computational Intelligence Theory and Practice by Thu Bui, Lam. This book is available in ePub and PDF format with a single click unlimited downloads.

GET BOOK

Computational Intelligence in Optimization

Computational Intelligence in Optimization
  • Publisher : Springer Science & Business Media
  • File Size : 35,5 Mb
  • Release Date : 30 June 2010
GET BOOK

This collection of recent studies spans a range of computational intelligence applications, emphasizing their application to challenging real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.

Computational Intelligence in Expensive Optimization Problems

Computational Intelligence in Expensive Optimization Problems
  • Publisher : Springer Science & Business Media
  • File Size : 23,9 Mb
  • Release Date : 10 March 2010
GET BOOK

In modern science and engineering, laboratory experiments are replaced by high fidelity and computationally expensive simulations. Using such simulations reduces costs and shortens development times but introduces new challenges to

Multi-Objective Optimization using Artificial Intelligence Techniques

Multi-Objective Optimization using Artificial Intelligence Techniques
  • Publisher : Springer
  • File Size : 20,6 Mb
  • Release Date : 24 July 2019
GET BOOK

This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and

High-Performance Simulation-Based Optimization

High-Performance Simulation-Based Optimization
  • Publisher : Springer
  • File Size : 54,8 Mb
  • Release Date : 01 June 2019
GET BOOK

This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that

Multi-Objective Memetic Algorithms

Multi-Objective Memetic Algorithms
  • Publisher : Springer Science & Business Media
  • File Size : 48,9 Mb
  • Release Date : 26 February 2009
GET BOOK

The application of sophisticated evolutionary computing approaches for solving complex problems with multiple conflicting objectives in science and engineering have increased steadily in the recent years. Within this growing trend,

Advances in Computational Intelligence

Advances in Computational Intelligence
  • Publisher : Springer Science & Business Media
  • File Size : 45,9 Mb
  • Release Date : 17 January 2003
GET BOOK

Written by leading researchers, this book discusses the recent results achieved in computational intelligence. It provides complete coverage of the core issues in the field. Theoretical and methodological investigations are

Sequential Approximate Multiobjective Optimization Using Computational Intelligence

Sequential Approximate Multiobjective Optimization Using Computational Intelligence
  • Publisher : Springer Science & Business Media
  • File Size : 45,8 Mb
  • Release Date : 12 June 2009
GET BOOK

Many kinds of practical problems such as engineering design, industrial m- agement and ?nancial investment have multiple objectives con?icting with eachother. Thoseproblemscanbeformulatedasmultiobjectiveoptimization. In multiobjective optimization, there does not necessarily

Multi-Objective Optimization in Theory and Practice I: Classical Methods

Multi-Objective Optimization in Theory and Practice I: Classical Methods
  • Publisher : Bentham Science Publishers
  • File Size : 49,9 Mb
  • Release Date : 13 December 2017
GET BOOK

Multi-Objective Optimization in Theory and Practice is a traditional two-part approach to solving multi-objective optimization (MOO) problems namely the use of classical methods and evolutionary algorithms. This first book is