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活动简介

The 2017 International Conference on Simulated Evolution and Learning is scheduled for November 10-13 at Southern University of Science and Technology (Google Map | Gaode Maps).

Evolution and learning are two fundamental forms of adaptation. SEAL 2017 is the eleventh conference in the highly successful series that aims at exploring these two forms of adaptation and their roles and interactions in adaptive systems. Cross-fertilization between evolutionary learning and other machine learning approaches, such as neural network learning, reinforcement learning, decision tree learning, fuzzy system learning, etc., will be strongly encouraged by the conference. The other major theme of the conference is optimization by evolutionary approaches or hybrid evolutionary approaches.

征稿信息

重要日期

2017-05-20
初稿截稿日期
2017-07-15
初稿录用日期
2017-08-15
终稿截稿日期

征稿范围

Evolutionary Learning:

  • Fundamental Issues in Evolutionary Learning

  • Co-Evolutionary Learning

  • Modular Evolutionary Learning Systems

  • Classifier System

  • Collective Intelligence

  • Representation Issues in Evolutionary Learning

  • Artificial Immune Systems

  • Interactions Between Learning and Evolution

  • Credit Assignment

  • Swarm Intelligence

  • Comparison Studies on Evolutionary Learning Algorithms

Evolutionary Optimisation:

  • Combinatorial Optimisation

  • Numerical/Function Optimisation

  • Hybrid Optimisation Algorithms

  • Simulated annealing

  • Comparison of Algorithms

  • Ant colony optimisation

  • Particle swarm optimisation

  • Brain Storm Optimization

  • Fireworks Algorithms

  • Memetic algorithms

Hybrid Learning:

  • Evolutionary Artificial Neural Networks

  • Evolutionary Fuzzy Systems

  • Evolutionary Reinforcement Learning

  • Evolutionary Clustering

  • Evolutionary Decision Tree Learning

  • Evolutionary Unsupervised Learning

  • Evolutionary Computation

  • Other Hybrid Learning Systems

  • Developmental Processes

  • Developmental Swarm Intelligence

Adaptive Systems:

  • Complexity in Adaptive Systems

  • Evolutionary Robotics

  • Evolvable Hardware and Software

  • Evolutionary Games

  • Self-Repairing Systems

  • Artificial Ecology

Theoretical Issues in Evolutionary Computation:

  • Computational Complexity of Evolutionary Algorithms

  • Self-Adaptation in Evolutionary Algorithms

  • Convergence and Convergence Rate of Evolutionary Algorithms

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重要日期
  • 会议日期

    11月11日

    2017

    11月13日

    2017

  • 05月20日 2017

    初稿截稿日期

  • 07月15日 2017

    初稿录用通知日期

  • 08月15日 2017

    终稿截稿日期

  • 11月13日 2017

    注册截止日期

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