語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Applications of Evolutionary Computa...
~
Squillero, Giovanni.
Applications of Evolutionary Computation = 19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings, Part II /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Applications of Evolutionary Computation/ edited by Giovanni Squillero, Paolo Burelli.
其他題名:
19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings, Part II /
其他作者:
Squillero, Giovanni.
面頁冊數:
XXVI, 329 p. 94 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Algorithms. -
電子資源:
https://doi.org/10.1007/978-3-319-31153-1
ISBN:
9783319311531
Applications of Evolutionary Computation = 19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings, Part II /
Applications of Evolutionary Computation
19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings, Part II /[electronic resource] :edited by Giovanni Squillero, Paolo Burelli. - 1st ed. 2016. - XXVI, 329 p. 94 illus.online resource. - Theoretical Computer Science and General Issues ;9598. - Theoretical Computer Science and General Issues ;9163.
EvoNUM: Local Fitness Meta-Models with Nearest Neighbor Regression -- Validating the Grid Diversity Operator: an Infusion Technique for Diversity Maintenance in Population-Based Optimisation Algorithms -- Benchmarking Languages for Evolutionary Algorithms -- On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front -- Evolving Smoothing Kernels for Global Optimization -- EvoPAR: Implementing Parallel Differential Evolution on Spark -- ECJ+HADOOP: An Easy Way to Deploy Massive Runs of Evolutionary Algorithm -- Addressing High Dimensional Multi-Objective Optimization Problems by Coevolutionary Islands with Overlapping Search Spaces -- Compilable Phenotypes: Accelerating the Evaluation of Individuals in Grammatical Evolution -- GPU Accelerated Molecular Docking Simulation with Genetic Algorithms -- EvoRISK: Challenging Anti-virus Through Evolutionary Malware Obfuscation -- EvoROBOT: Leveraging Online Racing and Population Cloning in Evolutionary Multirobot Systems -- Multi-Agent Behavior-Based Policy Transfer -- On-line Evolution of Foraging Behaviour in a Population of Real Robots -- Hybrid Control for a Real Swarm Robotics System in an Intruder Detection Task -- EvoSTOC: Direct Memory Schemes for Population-Based Incremental Learning in Cyclically Changing Environments -- Simheuristics for the Multiobjective Nondeterministic Firefighter Problem in a Time-Constrained Setting -- Benchmarking Dynamic Three-Dimensional Bin Packing Problems Using Discrete-Event Simulation -- Genetic Programming Algorithms for Dynamic Environments -- A Memory-Based NSGA-II Algorithm for Dynamic Multi-Objective Optimization Problems -- Hybrid Dynamic Resampling Algorithms for Evolutionary Multi-objective Optimization of Invariant-Noise Problems. .
The two volumes LNCS 9597 and 9598 constitute the refereed conference proceedings of the 19th European Conference on the Applications of Evolutionary Computation, EvoApplications 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 57 revised full papers presented together with 17 poster papers were carefully reviewed and selected from 115 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), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).
ISBN: 9783319311531
Standard No.: 10.1007/978-3-319-31153-1doiSubjects--Topical Terms:
527865
Algorithms.
LC Class. No.: QA76.9.A43
Dewey Class. No.: 005.1
Applications of Evolutionary Computation = 19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings, Part II /
LDR
:04703nam a22004095i 4500
001
980939
003
DE-He213
005
20200630214159.0
007
cr nn 008mamaa
008
201211s2016 gw | s |||| 0|eng d
020
$a
9783319311531
$9
978-3-319-31153-1
024
7
$a
10.1007/978-3-319-31153-1
$2
doi
035
$a
978-3-319-31153-1
050
4
$a
QA76.9.A43
072
7
$a
UMB
$2
bicssc
072
7
$a
COM051300
$2
bisacsh
072
7
$a
UMB
$2
thema
082
0 4
$a
005.1
$2
23
245
1 0
$a
Applications of Evolutionary Computation
$h
[electronic resource] :
$b
19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings, Part II /
$c
edited by Giovanni Squillero, Paolo Burelli.
250
$a
1st ed. 2016.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
300
$a
XXVI, 329 p. 94 illus.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Theoretical Computer Science and General Issues ;
$v
9598
505
0
$a
EvoNUM: Local Fitness Meta-Models with Nearest Neighbor Regression -- Validating the Grid Diversity Operator: an Infusion Technique for Diversity Maintenance in Population-Based Optimisation Algorithms -- Benchmarking Languages for Evolutionary Algorithms -- On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front -- Evolving Smoothing Kernels for Global Optimization -- EvoPAR: Implementing Parallel Differential Evolution on Spark -- ECJ+HADOOP: An Easy Way to Deploy Massive Runs of Evolutionary Algorithm -- Addressing High Dimensional Multi-Objective Optimization Problems by Coevolutionary Islands with Overlapping Search Spaces -- Compilable Phenotypes: Accelerating the Evaluation of Individuals in Grammatical Evolution -- GPU Accelerated Molecular Docking Simulation with Genetic Algorithms -- EvoRISK: Challenging Anti-virus Through Evolutionary Malware Obfuscation -- EvoROBOT: Leveraging Online Racing and Population Cloning in Evolutionary Multirobot Systems -- Multi-Agent Behavior-Based Policy Transfer -- On-line Evolution of Foraging Behaviour in a Population of Real Robots -- Hybrid Control for a Real Swarm Robotics System in an Intruder Detection Task -- EvoSTOC: Direct Memory Schemes for Population-Based Incremental Learning in Cyclically Changing Environments -- Simheuristics for the Multiobjective Nondeterministic Firefighter Problem in a Time-Constrained Setting -- Benchmarking Dynamic Three-Dimensional Bin Packing Problems Using Discrete-Event Simulation -- Genetic Programming Algorithms for Dynamic Environments -- A Memory-Based NSGA-II Algorithm for Dynamic Multi-Objective Optimization Problems -- Hybrid Dynamic Resampling Algorithms for Evolutionary Multi-objective Optimization of Invariant-Noise Problems. .
520
$a
The two volumes LNCS 9597 and 9598 constitute the refereed conference proceedings of the 19th European Conference on the Applications of Evolutionary Computation, EvoApplications 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 57 revised full papers presented together with 17 poster papers were carefully reviewed and selected from 115 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), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).
650
0
$a
Algorithms.
$3
527865
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Application software.
$3
528147
650
0
$a
Pattern recognition.
$3
1253525
650
0
$a
Data mining.
$3
528622
650
0
$a
Computer science—Mathematics.
$3
1253519
650
1 4
$a
Algorithm Analysis and Problem Complexity.
$3
593923
650
2 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Computer Applications.
$3
669785
650
2 4
$a
Pattern Recognition.
$3
669796
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
677765
650
2 4
$a
Mathematics of Computing.
$3
669457
700
1
$a
Squillero, Giovanni.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
785168
700
1
$a
Burelli, Paolo.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1106625
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783319311524
776
0 8
$i
Printed edition:
$z
9783319311548
830
0
$a
Theoretical Computer Science and General Issues ;
$v
9163
$3
1253524
856
4 0
$u
https://doi.org/10.1007/978-3-319-31153-1
912
$a
ZDB-2-SCS
912
$a
ZDB-2-SXCS
912
$a
ZDB-2-LNC
950
$a
Computer Science (SpringerNature-11645)
950
$a
Computer Science (R0) (SpringerNature-43710)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入