Particle swarm optimization algorithm vs. genetic algorithm to solve multi-objective optimization problem in gait planning of biped robot

Advances in Intelligent and Soft Computing

Volumn 132 AISC, Issue , 2012, Pages 563-570

  Rajendra, Rega ^a   Pratihar, Dilip Kumar ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Biped gait; GA; Multi objective optimization; PSO

Indexed keywords

FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; GALLIUM; GENETIC ALGORITHMS; INFORMATION SYSTEMS; INFORMATION USE; PARETO PRINCIPLE; PARTICLE SWARM OPTIMIZATION (PSO); ROBOT PROGRAMMING; ROBOTS; SWARM INTELLIGENCE; SYSTEMS ANALYSIS;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ASCENDING AND DESCENDING GAITS; BIPED GAIT; DYNAMIC BALANCE; GAIT PLANNING; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; PARETO-OPTIMAL FRONT; PARTICLE SWARM OPTIMIZATION ALGORITHM;

MULTIOBJECTIVE OPTIMIZATION;

EID: 84880376223     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-27443-5_65     Document Type: Conference Paper

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