Applications of Evolutionary Computation : 19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings, Part II - new book
2016, ISBN: 9783319311531
Thetwo volumes LNCS 9597 and 9598 constitute the refereed conference proceedingsof the 19th European Conference on the Applications of Evolutionary Computation,EvoApplications 2016, held … More...
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2016, ISBN: 9783319311531
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, he… More...
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2016, ISBN: 9783319311531
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, he… More...
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2003, ISBN: 9783319311531
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, he… More...
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Applications of Evolutionary Computation : 19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings, Part II - new book
2016, ISBN: 9783319311531
; PDF; Computing > Computer programming / software development > Algorithms & data structures, Springer Berlin Heidelberg
hive.co.uk No. 9783319311531. Shipping costs:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., plus shipping costs Details... |
Applications of Evolutionary Computation : 19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings, Part II - new book
2016, ISBN: 9783319311531
Thetwo volumes LNCS 9597 and 9598 constitute the refereed conference proceedingsof the 19th European Conference on the Applications of Evolutionary Computation,EvoApplications 2016, held … More...
2016, ISBN: 9783319311531
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, he… More...
2016
ISBN: 9783319311531
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, he… More...
2003, ISBN: 9783319311531
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, he… More...
Applications of Evolutionary Computation : 19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings, Part II - new book
2016, ISBN: 9783319311531
; PDF; Computing > Computer programming / software development > Algorithms & data structures, Springer Berlin Heidelberg
Bibliographic data of the best matching book
Details of the book - Applications of Evolutionary Computation : 19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings, Part II
EAN (ISBN-13): 9783319311531
Publishing year: 2016
Publisher: Wiley
Book in our database since 2017-04-16T21:03:20+01:00 (London)
Detail page last modified on 2023-04-12T14:47:23+01:00 (London)
ISBN/EAN: 9783319311531
ISBN - alternate spelling:
978-3-319-31153-1
Alternate spelling and related search-keywords:
Book author: giovanni paolo, shi
Book title: porto portugal, portugal april
Information from Publisher
Author: Giovanni Squillero; Paolo Burelli
Title: Theoretical Computer Science and General Issues; Lecture Notes in Computer Science; Applications of Evolutionary Computation - 19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings, Part II
Publisher: Springer; Springer International Publishing
329 Pages
Publishing year: 2016-03-24
Cham; CH
Language: English
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XXVI, 329 p. 94 illus.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Algorithmen und Datenstrukturen; Verstehen; Artificial intelligence; Bioinspired methods; Biologically inspired computing; Combinatorial optimization; Communication networks; Complex systems; Computer games; Data mining; Distributed systems; Energy applications; Evolutionary algorithms; Evolutionary computation; feature selection; Finance and economics; Genetic algorithms; Genetic programming; Machine learning; Natural computing; Particle Swarm Optimization; Problem solving; C; Algorithms; Artificial Intelligence; Computer and Information Systems Applications; Automated Pattern Recognition; Data Mining and Knowledge Discovery; Mathematics of Computing; Computer Science; Künstliche Intelligenz; Angewandte Informatik; Mustererkennung; Data Mining; Wissensbasierte Systeme, Expertensysteme; Mathematik für Informatiker; BC
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.Includes supplementary material: sn.pub/extras
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