Artificial Evolution 13th International Conference, Évolution Artificielle, EA 2017, Paris, France, October 25-27, 2017, Revised Selected Papers

This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Conference on Artificial Evolution, EA 2017, held in Paris, France, in October 2017.

 The 16 revised papers were carefully reviewed and selected from 33 submissions. The papers cover a wide range of topics in the field of artificial evolution, such as evolutionary computation, evolutionary optimization, co-evolution, artificial life, population dynamics, theory, algorithmics and modeling, implementations, application of evolutionary paradigms to the real world (industry, biosciences, ...), other biologically-inspired paradigms (swarm, artificial ants, artificial immune systems, cultural algorithms...), memetic algorithms, multi-objective optimisation, constraint handling, parallel algorithms,, dynamic optimization, machine learning and hybridization with other soft computing techniques.

Dettagli sul prodotto

• Con la collaborazione di: Nicolas Monmarché (Editore), Pierrick Legrand (Editore), Marc Schoenauer (Editore), Evelyne Lutton (Editore), Pierre Parrend (Editore)
• Editore: Springer, Berlin
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 20.03.2018
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
• EAN: 9783319781327
• ISBN: 978-3-31-978132-7
• Numero di pagine: 231
• Illustrazioni: XVI, 231 p. 77 illus.
• Dimensioni (della confezione): 15.5 x 23.3 x 1.3 cm
• Peso (della confezione): 382 g
• Serie: Lecture Notes in Computer Science > 10764; Theoretical Computer Science and General Issues > 10764
• Categorie: C, Algorithmen und Datenstrukturen, Algorithms, Artificial Intelligence, Diskrete Mathematik, Theoretische Informatik, Mathematik für Informatiker, Numerische Mathematik, computer science, Tabu Search, Künstliche Intelligenz (KI), Mathematical Applications in Computer Science, Discrete Mathematics in Computer Science, Discrete Mathematics, Algorithms & data structures, Mathematical & statistical software, Numerical analysis, Mathematical theory of computation, Computer science—Mathematics, Maths for computer scientists, Math Applications in Computer Science, Algorithm Analysis and Problem Complexity, Numeric Computing, metaheuristics, Simulated annealing, traveling salesman problem, ArtificialIntelligence, imageanalysis, Evolutionaryalgorithms, combinatorialoptimization, Problemsolving, geneticprogramming, geneticalgorithms, algorithmanalysisandproblemcomplexity, learningalgorithms, combinatorialmathematics, heuristicmethods, TravelingSalesmanProblem, simulatedannealing, TabuSearch, searchspaces, searchalgorithms, assignmentproblems, quadraticassignmentproblems