Self-adaptive MRPBIL-DE for 6D robot multiobjective trajectory planning

•Efficient self-adaptive multiobjective meta-heuristic (MOMH) algorithm.•Use of success-history based parameter adaptation for optimisation parameters.•Comparative results of a robot path planning problem with well-established MOMHs.•New design results set as the baseline for further studies. This w...

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Veröffentlicht in:	Expert systems with applications Jg. 136; S. 133 - 144
Hauptverfasser:	Bureerat, Sujin, Pholdee, Nantiwat, Radpukdee, Thana, Jaroenapibal, Papot
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.12.2019 Elsevier BV
Schlagworte:	Acceleration Algorithms Equations of motion Evolutionary computation Mathematical analysis Multiobjective meta-heuristic algorithm Multiple objective analysis Optimisation Pneumatics Polynomials Robot arms Robot trajectory planning multiobjective Robots Self-adaptive algorithm Time-jerk minimisation Trajectory optimization Trajectory planning Travel time Time-jerk minimisation Multiobjective meta-heuristic algorithm Robot trajectory planning multiobjective Optimisation Self-adaptive algorithm
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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