Coverart for item
The Resource Applications of Evolutionary Computation : 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part II, edited by Giovanni Squillero, Kevin Sim, (electronic resource)

Applications of Evolutionary Computation : 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part II, edited by Giovanni Squillero, Kevin Sim, (electronic resource)

Label
Applications of Evolutionary Computation : 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part II
Title
Applications of Evolutionary Computation
Title remainder
20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part II
Statement of responsibility
edited by Giovanni Squillero, Kevin Sim
Contributor
Editor
Provider
Subject
Language
eng
Summary
The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, colocated with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 46 revised full papers presented together with 26 poster papers were carefully reviewed and selected from 108 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoKNOW (knowledge incorporation in evolutionary computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoROBOT (evolutionary robotics), EvoSET (nature-inspired algorithms in software engineering and testing), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).
Member of
Image bit depth
0
LC call number
QA76.9.A43
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Squillero, Giovanni.
  • Sim, Kevin.
  • SpringerLink
Series statement
Lecture Notes in Computer Science,
Series volume
10200
http://library.link/vocab/subjectName
  • Computer science
  • Logic design
  • Microprocessors
  • Computers, Special purpose
  • Computer architecture
  • Algorithms
  • Artificial intelligence
  • Computer Science
  • Algorithm Analysis and Problem Complexity
  • Artificial Intelligence (incl. Robotics)
  • Special Purpose and Application-Based Systems
  • Computer System Implementation
  • Processor Architectures
  • Logic Design
Label
Applications of Evolutionary Computation : 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part II, edited by Giovanni Squillero, Kevin Sim, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
EvoSET: Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines -- On the Use of Smelly Examples to Detect Code Smells in JavaScript -- Deep Parameter Tuning of Concurrent Divide and Conquer Algorithms in Akka -- Focusing Learning-based Testing away from Known Weaknesses -- Polytypic Genetic Programming -- Evolving Rules for Action Selection in Automated Testing via Genetic Programming – A First Approach -- EvoSTOC: A New Multi-swarm Particle Swarm Optimization for Robust Optimization over Time -- The Static and Stochastic VRP with Time Windows and Both Random Customers and Reveal Times -- Pre-Scheduled Colony Size Variation in Dynamic Environments -- An Online Packing Heuristic for the Three-dimensional Container Loading Problem in Dynamic Environments and the Physical Internet -- Advancing Dynamic Evolutionary Optimization Using In-Memory Database Technology -- Road Traffic Rules Synthesis Using Grammatical Evolution -- Solving Dynamic Graph Coloring Problem Using Dynamic Pool Based Evolutionary Algorithm -- General: Meta-Heuristics for Improved RF Emitter Localization -- Automated Design of Genetic Programming Classification Algorithms Using a Genetic Algorithm
Dimensions
unknown
Extent
XXIV, 243 p. 57 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9783319557922
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-55792-2
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-55792-2
Label
Applications of Evolutionary Computation : 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part II, edited by Giovanni Squillero, Kevin Sim, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
EvoSET: Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines -- On the Use of Smelly Examples to Detect Code Smells in JavaScript -- Deep Parameter Tuning of Concurrent Divide and Conquer Algorithms in Akka -- Focusing Learning-based Testing away from Known Weaknesses -- Polytypic Genetic Programming -- Evolving Rules for Action Selection in Automated Testing via Genetic Programming – A First Approach -- EvoSTOC: A New Multi-swarm Particle Swarm Optimization for Robust Optimization over Time -- The Static and Stochastic VRP with Time Windows and Both Random Customers and Reveal Times -- Pre-Scheduled Colony Size Variation in Dynamic Environments -- An Online Packing Heuristic for the Three-dimensional Container Loading Problem in Dynamic Environments and the Physical Internet -- Advancing Dynamic Evolutionary Optimization Using In-Memory Database Technology -- Road Traffic Rules Synthesis Using Grammatical Evolution -- Solving Dynamic Graph Coloring Problem Using Dynamic Pool Based Evolutionary Algorithm -- General: Meta-Heuristics for Improved RF Emitter Localization -- Automated Design of Genetic Programming Classification Algorithms Using a Genetic Algorithm
Dimensions
unknown
Extent
XXIV, 243 p. 57 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9783319557922
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-55792-2
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-55792-2

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