EVOLUTIONARY ALGORITHMS IN ROBOTICS

Evolutionary algorithms incorporate principles from biological population genetics to perform search, optimization, and learning. This article discusses issues arising in the application of evolutionary algorithms to problems in robotics.

[1]  John J. Grefenstette,et al.  An Approach to Anytime Learning , 1992, ML.

[2]  John J. Grefenstette,et al.  Combining Experience with Quantitative Models , 1993 .

[3]  J. Grefenstette.  The Evolution of Strategies for Multi-agent Environments , 1987 .

[4]  Larry J. Eshelman,et al.  Foundations of Genetic Algorithms-2 , 1993 .

[5]  Lawrence. Davis,et al.  Handbook Of Genetic Algorithms , 1990 .

[6]  John J. Grefenstette,et al.  Lamarckian Learning in Multi-Agent Environments , 1991, ICGA.

[7]  L. D. Whitley,et al.  Genetic Reinforcement Learning for Neurocontrol Problems , 2004, Machine Learning.

[8]  Stewart W. Wilson,et al.  Environment structure and adaptive behavior from the ground up , 1993 .

[9]  Rodney A. Brooks,et al.  Artificial Life and Real Robots , 1992 .

[10]  John J. Grefenstette,et al.  Improving tactical plans with genetic algorithms , 1990, [1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence.

[11]  Kenneth A. De Jong,et al.  On the State of Evolutionary Computation , 1993, ICGA.

[12]  Lashon B. Booker,et al.  Proceedings of the fourth international conference on Genetic algorithms , 1991 .

[13]  Marco Dorigo,et al.  Genetics-based machine learning and behavior-based robotics: a new synthesis , 1993, IEEE Trans. Syst. Man Cybern..

[14]  John J. Grefenstette,et al.  Case-Based Initialization of Genetic Algorithms , 1993, ICGA.

[15]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[16]  Thomas Bäck,et al.  An Overview of Evolutionary Algorithms for Parameter Optimization , 1993, Evolutionary Computation.

[17]  Hitoshi Iba,et al.  Evolving hardware with genetic learning: a first step towards building a Darwin machine , 1993 .

[18]  John J. Grefenstette,et al.  Simulation-Assisted Learning by Competition: Effects of Noise Differences Between Training Model and Target Environment , 1990, ML.