Evolutionary multi-criteria trajectory modeling of industrial robots in the presence of obstacles

Engineering Applications of Artificial Intelligence

Volumn 22, Issue 2, 2009, Pages 329-342

  Saravanan, R ^a   Ramabalan, S ^b   Balamurugan, C ^b  

^a KUMARAGURU COLLEGE OF TECHNOLOGY   (India)

^b J J COLLEGE OF ENGINEERING AND TECHNOLOGY   (India)

Author keywords

Elitist non dominated sorting genetic algorithm (NSGA II); Multi objective differential evolution (MODE); Multi objective optimal trajectory modeling; Obstacle avoidance

Indexed keywords

ALGORITHMS; COMPOSITE STRUCTURES; CONSTRAINED OPTIMIZATION; FLEXIBLE MANIPULATORS; FUNCTIONS; GENETIC ALGORITHMS; INDUSTRIAL ROBOTS; MANIPULATORS; MODULAR ROBOTS; MULTIOBJECTIVE OPTIMIZATION; OBJECT RECOGNITION; OPTIMIZATION; PARETO PRINCIPLE; PROBABILITY DENSITY FUNCTION; ROBOT APPLICATIONS; ROBOTICS; ROBOTS; TRAJECTORIES;

COMPUTATIONAL EFFORTS; ELITIST NON-DOMINATED SORTING GENETIC ALGORITHM (NSGA-II); GENERAL METHODS; HANDLING CONSTRAINTS; HOT SPOTS; MECHANICAL ENERGIES; MEMORY STORAGES; MULTI CRITERION; MULTI CRITERIONS; MULTI-OBJECTIVE DIFFERENTIAL EVOLUTION (MODE); MULTI-OBJECTIVE OPTIMAL TRAJECTORY MODELING; NSGA-II; OBJECTIVE FUNCTIONS; OBSTACLE AVOIDANCE; OPTIMAL MOTIONS; OPTIMAL PATHS; OPTIMAL SOLUTIONS; OPTIMAL TRAJECTORY PLANNING; OPTIMIZATION ALGORITHMS; OPTIMIZER; PARETO-OPTIMAL FRONTS; PERFORMANCE MEASURES; PLANNING ALGORITHMS; RESEARCH FIELDS; ROBOT MANIPULATORS; TRAJECTORY MODELING; TRAJECTORY PLANNING; TRAVELING TIME;

EVOLUTIONARY ALGORITHMS;

EID: 58949101472     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2008.06.002     Document Type: Article

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