Crossover operators - PowerPoint PPT Presentation

Genetic Algorithms

Genetic Algorithms. Chapter 3. GA Quick Overview. Developed: USA in the 1970’s Early names: J. Holland, K. DeJong, D. Goldberg Typically applied to: discrete optimization Attributed features: not too fast good heuristic for combinatorial problems Special Features:

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Learning Paradigms and General Aspects of Learning

Learning Paradigms and General Aspects of Learning. Different Forms of Learning: Learning agent receives feedback with respect to its actions (e.g. from a teacher) Supervised Learning : feedback is received with respect to all possible actions of the agent

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