Search from the table of contents of 2.5 million books
Advanced Search (Beta)
Home > Evolutionary optimization algorithms. Biologically-Inspired and Population-Based Approaches to Computer Intelligence

Evolutionary optimization algorithms. Biologically-Inspired and Population-Based Approaches to Computer Intelligence


Book Informaton

Evolutionary optimization algorithms. Biologically-Inspired and Population-Based Approaches to Computer Intelligence

Author

Dan Simon

Year of Publication

2013

Publisher

Wiley Blackwell

Pages

784

Language

en

ISBN

9781118659502, 1118659503

ARI Id

1673472748751


Find on

World Cat

OpenLibrary

Internet Archive


This page has been accessed 4 times.
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

Join our Whatsapp Channel to get regular updates.

Citation Options
Download Citation

Showing 1 to 20 of 424 entries
Chapters/HeadingsAuthor(s)PagesInfo
SHORT TABLE OF CONTENTS
DETAILED TABLE OF CONTENTS
Acronyms
List of Algorithms
PART I INTRODUCTION TO EVOLUTIONARY OPTIMIZATION
1 Introduction
11 Terminology
12 Why Another Book on Evolutionary Algorithms?
13 Prerequisites
14 Homework Problems
15 Notation
16 Outline of the Book
17 A Course Based on This Book
2 Optimization
21 Unconstrained Optimization
22 Constrained Optimization
23 Multi-Objective Optimization
24 Multimodal Optimization
25 Combinatorial Optimization
26 Hill Climbing
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 424 entries