Applications of Evolutionary Computation 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part II /

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 EvoMUS...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Squillero, Giovanni (Επιμελητής έκδοσης), Sim, Kevin (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Σειρά:Lecture Notes in Computer Science, 10200
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.