Multi-objective dynamic optimal trajectory planning of robot manipulators in the presence of obstacles

Author:

Ramabalan S.,Saravanan R.,Balamurugan C.

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Reference14 articles.

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3. Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):82–197 DOI 10.1109/4235.996017

4. Babu BV, Anbarasu B (2005) Multi-Objective differential evolution (MODE): An evolutionary algorithm for multi-objective optimization problems (MOOPs). http://discovery.bitspilani.ac.in/discipline/chemical/BVb/publications/html

5. Horn J, Nafploitis N, Goldberg D (1994) A niched Pareto genetic algorithm for multi-objective optimization. Proceedings of the First IEEE Conference on Evol Comput. 82–87

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