The Resource Theory and principled methods for the design of metaheuristics, edited by Yossi Borenstein, Alberto Moraglio
Theory and principled methods for the design of metaheuristics, edited by Yossi Borenstein, Alberto Moraglio
Resource Information
The item Theory and principled methods for the design of metaheuristics, edited by Yossi Borenstein, Alberto Moraglio represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Theory and principled methods for the design of metaheuristics, edited by Yossi Borenstein, Alberto Moraglio represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.
This item is available to borrow from 1 library branch.
- Summary
- Metaheuristics, and evolutionary algorithms in particular, are known to provide efficient, adaptable solutions for many real-world problems, but the often informal way in which they are defined and applied has led to misconceptions, and even successful applications are sometimes the outcome of trial and error. Ideally, theoretical studies should explain when and why metaheuristics work, but the challenge is huge: mathematical analysis requires significant effort even for simple scenarios and real-life problems are usually quite complex. In this book the editors establish a bridge between theory and practice, presenting principled methods that incorporate problem knowledge in evolutionary algorithms and other metaheuristics. The book consists of 11 chapters dealing with the following topics: theoretical results that show what is not possible, an assessment of unsuccessful lines of empirical research; methods for rigorously defining the appropriate scope of problems while acknowledging the compromise between the class of problems to which a search algorithm is applied and its overall expected performance; the top-down principled design of search algorithms, in particular showing that it is possible to design algorithms that are provably good for some rigorously defined classes; and, finally, principled practice, that is reasoned and systematic approaches to setting up experiments, metaheuristic adaptation to specific problems, and setting parameters. With contributions by some of the leading researchers in this domain, this book will be of significant value to scientists, practitioners, and graduate students in the areas of evolutionary computing, metaheuristics, and computational intelligence
- Language
- eng
- Extent
- 1 online resource.
- Contents
-
- No Free Lunch Theorems: Limitations and Perspectives of Metaheuristics
- Convergence Rates of Evolutionary Algorithms and Parallel Evolutionary Algorithms
- Rugged and Elementary Landscapes
- Single-Funnel and Multi-funnel Landscapes and Subthreshold Seeking Behavior
- Black-Box Complexity for Bounding the Performance of Randomized Search Heuristics
- Designing an Optimal Search Algorithm with Respect to Prior Information
- The Bayesian Search Game
- Principled Design of Continuous Stochastic Search: From Theory to Practice
- Parsimony Pressure Made Easy: Solving the Problem of Bloat in GP
- Experimental Analysis of Optimization Algorithms: Tuning and Beyond
- Formal Search Algorithms + Problem Characterizations = Executable Search Strategies
- Isbn
- 9783642332067
- Label
- Theory and principled methods for the design of metaheuristics
- Title
- Theory and principled methods for the design of metaheuristics
- Statement of responsibility
- edited by Yossi Borenstein, Alberto Moraglio
- Subject
-
- Computer algorithms
- Computer algorithms
- Computer algorithms
- Heuristic programming
- Heuristic programming
- Heuristic programming
- MATHEMATICS -- Applied
- MATHEMATICS -- Probability & Statistics | General
- Mathematical optimization
- Mathematical optimization
- Mathematical optimization
- Problem solving -- Data processing
- Problem solving -- Data processing
- Problem solving -- Data processing
- Language
- eng
- Summary
- Metaheuristics, and evolutionary algorithms in particular, are known to provide efficient, adaptable solutions for many real-world problems, but the often informal way in which they are defined and applied has led to misconceptions, and even successful applications are sometimes the outcome of trial and error. Ideally, theoretical studies should explain when and why metaheuristics work, but the challenge is huge: mathematical analysis requires significant effort even for simple scenarios and real-life problems are usually quite complex. In this book the editors establish a bridge between theory and practice, presenting principled methods that incorporate problem knowledge in evolutionary algorithms and other metaheuristics. The book consists of 11 chapters dealing with the following topics: theoretical results that show what is not possible, an assessment of unsuccessful lines of empirical research; methods for rigorously defining the appropriate scope of problems while acknowledging the compromise between the class of problems to which a search algorithm is applied and its overall expected performance; the top-down principled design of search algorithms, in particular showing that it is possible to design algorithms that are provably good for some rigorously defined classes; and, finally, principled practice, that is reasoned and systematic approaches to setting up experiments, metaheuristic adaptation to specific problems, and setting parameters. With contributions by some of the leading researchers in this domain, this book will be of significant value to scientists, practitioners, and graduate students in the areas of evolutionary computing, metaheuristics, and computational intelligence
- Cataloging source
- GW5XE
- Dewey number
- 519.6
- Index
- no index present
- Language note
- English
- LC call number
- QA402.5
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
-
- Borenstein, Yossi
- Moraglio, Alberto
- Series statement
- Natural computing series
- http://library.link/vocab/subjectName
-
- Mathematical optimization
- Heuristic programming
- Problem solving
- Computer algorithms
- MATHEMATICS
- MATHEMATICS
- Computer algorithms
- Heuristic programming
- Mathematical optimization
- Problem solving
- Label
- Theory and principled methods for the design of metaheuristics, edited by Yossi Borenstein, Alberto Moraglio
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references
- 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
- No Free Lunch Theorems: Limitations and Perspectives of Metaheuristics -- Convergence Rates of Evolutionary Algorithms and Parallel Evolutionary Algorithms -- Rugged and Elementary Landscapes -- Single-Funnel and Multi-funnel Landscapes and Subthreshold Seeking Behavior -- Black-Box Complexity for Bounding the Performance of Randomized Search Heuristics -- Designing an Optimal Search Algorithm with Respect to Prior Information -- The Bayesian Search Game -- Principled Design of Continuous Stochastic Search: From Theory to Practice -- Parsimony Pressure Made Easy: Solving the Problem of Bloat in GP -- Experimental Analysis of Optimization Algorithms: Tuning and Beyond -- Formal Search Algorithms + Problem Characterizations = Executable Search Strategies
- Control code
- 868024621
- Dimensions
- unknown
- Extent
- 1 online resource.
- File format
- unknown
- Form of item
- online
- Isbn
- 9783642332067
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
-
- 10.1007/978-3-642-33206-7
- 10.1007/978-3-642-33
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)868024621
- Label
- Theory and principled methods for the design of metaheuristics, edited by Yossi Borenstein, Alberto Moraglio
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references
- 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
- No Free Lunch Theorems: Limitations and Perspectives of Metaheuristics -- Convergence Rates of Evolutionary Algorithms and Parallel Evolutionary Algorithms -- Rugged and Elementary Landscapes -- Single-Funnel and Multi-funnel Landscapes and Subthreshold Seeking Behavior -- Black-Box Complexity for Bounding the Performance of Randomized Search Heuristics -- Designing an Optimal Search Algorithm with Respect to Prior Information -- The Bayesian Search Game -- Principled Design of Continuous Stochastic Search: From Theory to Practice -- Parsimony Pressure Made Easy: Solving the Problem of Bloat in GP -- Experimental Analysis of Optimization Algorithms: Tuning and Beyond -- Formal Search Algorithms + Problem Characterizations = Executable Search Strategies
- Control code
- 868024621
- Dimensions
- unknown
- Extent
- 1 online resource.
- File format
- unknown
- Form of item
- online
- Isbn
- 9783642332067
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
-
- 10.1007/978-3-642-33206-7
- 10.1007/978-3-642-33
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)868024621
Subject
- Computer algorithms
- Computer algorithms
- Computer algorithms
- Heuristic programming
- Heuristic programming
- Heuristic programming
- MATHEMATICS -- Applied
- MATHEMATICS -- Probability & Statistics | General
- Mathematical optimization
- Mathematical optimization
- Mathematical optimization
- Problem solving -- Data processing
- Problem solving -- Data processing
- Problem solving -- Data processing
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