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活动简介

Various Machine learning techniques has proven their effect on optimizing the result of complex problems in all domain of engineering. Evolutionary computational techniques come under unsupervised machine learning techniques those are very efficient in solving highly complex discrete problems. This special session will cover all Evolutionary techniques  are Population based Heuristic Search techniques like Genetic Algorithm, Particle Swarm Optimization, Genetic Programming, Evolutionary Strategies, Ant Colony Optimization, Artificial Bee Colony Algorithm, and Differential Evolution and their applications. Many researchers have utilized these techniques in all kind of Intelligent Agents for optimizing the performance by using jointly or using their parameters in different ways, so till now many form of these techniques have evolved.

征稿信息

重要日期

2016-07-10
初稿截稿日期
2016-10-08
终稿截稿日期

征稿范围

The focus areas include (but not limited to) the following topics:

Agent-Based Systems, AI and Evolutionary Algorithm, Ant Colony Optimization, Machine Learning, Genetic Programming, Swarm Intelligence, Robotic Swarm, Reinforcement Learning, Heuristic Search, Automated problem solving, Cognitive Systems and Applications, Collective Intelligence, Intelligent Agents, Decision Support Systems, PSO, GA.

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重要日期
  • 会议日期

    12月06日

    2016

    12月09日

    2016

  • 07月10日 2016

    初稿截稿日期

  • 10月08日 2016

    终稿截稿日期

  • 12月09日 2016

    注册截止日期

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IEEE
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