Applications of evolutionary computation. 19th European Conference, EvoApplications 2016, Porto, Portugal, March 30-April 1, 2016, Proceedings /: 19th European Conference, EvoApplications 2016, Porto, Portugal, March 30-April 1, 2016, Proceedings. Part II : (2016)

• Record Type: Book
• Other Titles: EvoApplications 2016
• Further Information: Note: Editors: Giovanni Squillero and Paolo Burelli.
• Editors: Squillero, Giovanni; Burelli, Paolo
• Other Names: EvoApplications (Conference), 19th
• Contents: 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.
• Publisher Details: Cham : Springer
• Publication Date: 2016
• Extent: 1 online resource (xxvi, 329 pages), illustrations
• Subjects: 005.1; Computer science; Evolutionary computation -- Congresses; Evolutionary computation; Computers -- Intelligence (AI) & Semantics; Computers -- Data Processing; Computers -- Computer Vision & Pattern Recognition; Computers -- Database Management -- Data Mining; Artificial intelligence; Information technology: general issues; Pattern recognition; Data mining; Mathematical theory of computation; Computer software; Artificial intelligence; Optical pattern recognition; Data mining; Computers -- Programming -- Algorithms; Algorithms & data structures; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9783319311531; 3319311530; 3319311522; 9783319311524
• Related ISBNs: 9783319311524
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed March 28, 2016).
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• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.