New research in nature inspired algorithms for mobility management in GSM networks

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

Volumn 4974 LNCS, Issue , 2008, Pages 1-10

  Alba, Enrique ^a   García Nieto, José ^a   Taheri, Javid ^b   Zomaya, Albert ^b  

^a UNIVERSITY OF MÁLAGA   (Spain)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Geometric particle swarm optimization; GSM cellular networks; Hopfield neural network; Mobile location management

Indexed keywords

ALGORITHMS; COMBINATORIAL MATHEMATICS; COMPUTATION THEORY; EVOLUTIONARY ALGORITHMS; HOPFIELD NEURAL NETWORKS; IMAGE CLASSIFICATION; INTERNET; MANAGEMENT; NEURAL NETWORKS; OPTIMIZATION; PAGING SYSTEMS; PARTICLE SWARM OPTIMIZATION (PSO);

COMBINATORIAL SEARCH; CURRENT APPLICATIONS; EUROPEAN; EVOLUTIONARY COMPUTATION (EC); EVOLUTIONARY COMPUTING; GEOMETRIC IDEAS; GSM NETWORKS; HAMMING SPACES; HEIDELBERG (CO); HOPFIELD; LOCATION MANAGEMENT (LM); MOBILE LOCATION MANAGEMENT; MOBILITY MANAGEMENT (MM); PARTICLE SWARM OPTIMIZATION (PSO); TELECOMMUNICATION PROBLEM; TEST INSTANCES; WIDE-RANGE;

NETWORK MANAGEMENT;

EID: 47249161614     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-78761-7_1     Document Type: Conference Paper

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