A novel particle swarm optimization with non-linear inertia weight based on tangent function

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5755 LNAI, Issue , 2009, Pages 785-793

  Li, Li ^a   Xue, Bing ^a   Niu, Ben ^a   Tan, Lijing ^b   Wang, Jixian ^c  

^a SHENZHEN UNIVERSITY   (China)

^b Measurement Specialties Inc   (China)

^c ANHUI AGRICULTURAL UNIVERSITY   (China)

Author keywords

Inertia weight; Particle swarm optimization; Tangent function

Indexed keywords

BENCH-MARK PROBLEMS; CONTROL PARAMETERS; CONVERGENCE RATES; GLOBAL SEARCH; INERTIA WEIGHT; LOCAL SEARCH; NON-LINEAR; NON-LINEAR DYNAMICS; PSO ALGORITHMS; SPECIFIC PROBLEMS; TANGENT FUNCTION; TANGENT FUNCTIONS; TRIAL AND ERROR;

COMPUTER SCIENCE; CONTROL SYSTEM ANALYSIS; INTELLIGENT COMPUTING; PARAMETER ESTIMATION; WEIGHING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 70350413600     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04020-7_84     Document Type: Conference Paper

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