Modeling a shape memory alloy actuator using an evolvable recursive black-box and hybrid heuristic algorithms inspired based on the annual migration of salmons in nature

Applied Soft Computing Journal

Volumn 14, Issue PART B, 2014, Pages 229-251

  Fathi, Alireza ^a   Mozaffari, Ahmad ^a  

^a BABOL NOSHIRVANI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Cellular automated (CA) meta modeling; Evolving computing (EC); Incremental learning; Self organizing (Kohonen) maps (SOMs); Shape memory alloys (SMAs); System identification; The Great Salmon Run (TGSR) optimization algorithm

Indexed keywords

EVOLVING COMPUTING (EC); INCREMENTAL LEARNING; KOHONEN; METAMODELING; OPTIMIZATION ALGORITHMS;

ACTUATORS; EVOLUTIONARY ALGORITHMS; HEURISTIC ALGORITHMS; HEURISTIC METHODS; IDENTIFICATION (CONTROL SYSTEMS); RECURRENT NEURAL NETWORKS;

SHAPE MEMORY EFFECT;

EID: 84888384139     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2013.03.019     Document Type: Article

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