Simulated Evolution and Learning : 9th International Conference, SEAL 2012, Hanoi, Vietnam, December 16-19, 2012. Proceedings

This volume constitutes the proceedings of the 9th International Conference on Simulated Evolution and Learning, SEAL 2012, held in Hanoi, Vietnam, in December 2012. The 50 full papers presented were carefully reviewed and selected from 91 submissions. The papers are organized in topical sections on...

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Auteurs principaux : Bui Lam Thu (Directeur de publication), Ong Yew Soon (Directeur de publication), Hoai Nguyen Xuan (Directeur de publication), Ishibuchi Hisao (Directeur de publication), Suganthan Ponnuthurai Nagaratnam (Directeur de publication)
Format : Livre
Langue : anglais
Titre complet : Simulated Evolution and Learning : 9th International Conference, SEAL 2012, Hanoi, Vietnam, December 16-19, 2012. Proceedings / edited by Lam Thu Bui, Yew Soon Ong, Nguyen Xuan Hoai, Hisao Ishibuchi, Ponnuthurai Nagaratnam Suganthan.
Publié : Berlin, Heidelberg : Springer Berlin Heidelberg , 2012
Cham : Springer Nature
Collection : Theoretical computer science and general issues (Online) ; 7673
Accès en ligne : Accès Nantes Université
Accès direct soit depuis les campus via le réseau ou le wifi eduroam soit à distance avec un compte @etu.univ-nantes.fr ou @univ-nantes.fr
Sujets :
Documents associés : Autre format: Simulated Evolution and Learning
Autre format: Simulated Evolution and Learning
  • The Influence of the Number of Initial Feasible Solutions on the Performance of an Evolutionary Optimization Algorithm
  • Concurrent Differential Evolution Based on Generational Model for Multi-core CPUs
  • Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection
  • An Evolutionary Algorithm for the Over-constrained Airport Baggage Sorting Station Assignment Problem
  • HEMH2: An Improved Hybrid Evolutionary Metaheuristics for 0/1 Multiobjective Knapsack Problems Guided Reproduction in Differential Evolution
  • A Study of Breakout Local Search for the Minimum Sum ColoringProblem
  • XCS with Adaptive Action Mapping
  • DEAL: A Direction-Guided Evolutionary Algorithm
  • Using Hybrid Dependency Identification with a Memetic Algorithm for Large Scale Optimization Problems
  • Evolution of Intrinsic Motives in Multi-agent Simulations
  • A Hybrid Particle Swarm Optimization Approach to Bernoulli Mixture Models
  • An Agent-Based Model for Simulation of Traffic Network Status
  • Self-Adaptive Particle Swarm Optimization
  • Evaporation Mechanisms for Particle Swarm Optimization
  • The Performance and Sensitivity of the Parameters Setting on the Best-so-far ABC
  • Incremental Spatial Clustering in Data Mining Using Genetic Algorithm and R-Tree
  • Personalized Email Recommender System Based on User Actions
  • Emergent Self Organizing Maps for Text Cluster Visualization by Incorporating Ontology Based Descriptors
  • Online Handwriting Recognition Using Multi Convolution Neural Networks
  • Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming
  • Solving Graph Coloring Problem by Fuzzy Clustering-Based Genetic Algorithm
  • Efficient Neuroevolution for a Quadruped Robot
  • Learning and Generating Folk Melodies Using MPF-Inspired Hierarchical Self-Organising Maps
  • Multi Objective Learning Classifier Systems Based Hyperheuristics for Modularised Fleet Mix Problem
  • Where Should We Stop? An Investigation on Early Stoppingfor GP Learning
  • From Subjective to Objective Metrics for Evolutionary Story Narration Using Event Permutations
  • Learning Rule for TSK Fuzzy Logic Systems Using Interval Type-2 Fuzzy Subtractive Clustering
  • Constrained Layout Optimization in Satellite Cabin Using a Multiagent Genetic Algorithm
  • A Multi-Objective Approach for Master s Thesis Committees Scheduling Using DMEA
  • Coupler-Curve Synthesis of a Planar Four-Bar Mechanism Using NSGA-II
  • Interactive GA Flock Brush for Non-Photorealistic Rendering
  • Generating Diverse Behaviors of Evolutionary Robots with Speciation for Theory of Mind
  • Improving Gender Recognition Using Genetic Algorithms.