The Resource Analyzing evolutionary algorithms : the computer science perspective, Thomas Jansen
Analyzing evolutionary algorithms : the computer science perspective, Thomas Jansen
Resource Information
The item Analyzing evolutionary algorithms : the computer science perspective, Thomas Jansen represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Analyzing evolutionary algorithms : the computer science perspective, Thomas Jansen represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
- Summary
- Evolutionary algorithms is a class of randomized heuristics inspired by natural evolution. They are applied in many different contexts, in particular in optimization, and analysis of such algorithms has seen tremendous advances in recent years. In this book the author provides an introduction to the methods used to analyze evolutionary algorithms and other randomized search heuristics. He starts with an algorithmic and modular perspective and gives guidelines for the design of evolutionary algorithms. He then places the approach in the broader research context with a chapter on theoretical perspectives. By adopting a complexity-theoretical perspective, he derives general limitations for black-box optimization, yielding lower bounds on the performance of evolutionary algorithms, and then develops general methods for deriving upper and lower bounds step by step. This main part is followed by a chapter covering practical applications of these methods. The notational and mathematical basics are covered in an appendix, the results presented are derived in detail, and each chapter ends with detailed comments and pointers to further reading. So the book is a useful reference for both graduate students and researchers engaged with the theoretical analysis of such algorithms
- Language
- eng
- Extent
- 1 online resource.
- Contents
-
- Introduction
- Evolutionary Algorithms and Other Randomized Search Heuristics
- Theoretical Perspectives on Evolutionary Algorithms
- General Limits in Black-Box Optimization
- Methods for the Analysis of Evolutionary Algorithms
- Select Topics in the Analysis of Evolutionary Algorithms.006m o d
- Isbn
- 9783642436017
- Label
- Analyzing evolutionary algorithms : the computer science perspective
- Title
- Analyzing evolutionary algorithms
- Title remainder
- the computer science perspective
- Statement of responsibility
- Thomas Jansen
- Language
- eng
- Summary
- Evolutionary algorithms is a class of randomized heuristics inspired by natural evolution. They are applied in many different contexts, in particular in optimization, and analysis of such algorithms has seen tremendous advances in recent years. In this book the author provides an introduction to the methods used to analyze evolutionary algorithms and other randomized search heuristics. He starts with an algorithmic and modular perspective and gives guidelines for the design of evolutionary algorithms. He then places the approach in the broader research context with a chapter on theoretical perspectives. By adopting a complexity-theoretical perspective, he derives general limitations for black-box optimization, yielding lower bounds on the performance of evolutionary algorithms, and then develops general methods for deriving upper and lower bounds step by step. This main part is followed by a chapter covering practical applications of these methods. The notational and mathematical basics are covered in an appendix, the results presented are derived in detail, and each chapter ends with detailed comments and pointers to further reading. So the book is a useful reference for both graduate students and researchers engaged with the theoretical analysis of such algorithms
- Cataloging source
- GW5XE
- http://library.link/vocab/creatorName
- Jansen, Thomas
- Dewey number
- 005.1
- Index
- index present
- Language note
- English
- LC call number
- QA76.618
- LC item number
- .J36 2013
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- NLM call number
- QA 76.618
- Series statement
- Natural computing series,
- http://library.link/vocab/subjectName
-
- Evolutionary computation
- Algorithms
- Artificial Intelligence
- Evolutionary computation
- Label
- Analyzing evolutionary algorithms : the computer science perspective, Thomas Jansen
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Introduction
- Evolutionary Algorithms and Other Randomized Search Heuristics
- Theoretical Perspectives on Evolutionary Algorithms
- General Limits in Black-Box Optimization
- Methods for the Analysis of Evolutionary Algorithms
- Select Topics in the Analysis of Evolutionary Algorithms.006m o d
- Control code
- 826121866
- Dimensions
- unknown
- Extent
- 1 online resource.
- File format
- unknown
- Form of item
- online
- Isbn
- 9783642436017
- Lccn
- 2012954385
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-3-642-17339-4
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)826121866
- Label
- Analyzing evolutionary algorithms : the computer science perspective, Thomas Jansen
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Introduction
- Evolutionary Algorithms and Other Randomized Search Heuristics
- Theoretical Perspectives on Evolutionary Algorithms
- General Limits in Black-Box Optimization
- Methods for the Analysis of Evolutionary Algorithms
- Select Topics in the Analysis of Evolutionary Algorithms.006m o d
- Control code
- 826121866
- Dimensions
- unknown
- Extent
- 1 online resource.
- File format
- unknown
- Form of item
- online
- Isbn
- 9783642436017
- Lccn
- 2012954385
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-3-642-17339-4
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)826121866
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Analyzing-evolutionary-algorithms--the-computer/fsqU82j20mU/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Analyzing-evolutionary-algorithms--the-computer/fsqU82j20mU/">Analyzing evolutionary algorithms : the computer science perspective, Thomas Jansen</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
