Genetic algorithm-based charging task scheduler for electric vehicles in smart transportation

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

Volumn 7196 LNAI, Issue PART 1, 2012, Pages 208-217

  Lee, Junghoon ^a   Kim, Hye Jin ^a   Park, Gyung Leen ^a   Jeon, Hongbeom ^b  

^a Jeju National University   (South Korea)

^b KT   (South Korea)

Author keywords

electric vehicle charging; genetic algorithm; initial population; peak load reduction; smart grid

Indexed keywords

ACTUATION TIME; CONVENTIONAL SCHEMES; ELECTRIC CONNECTIONS; FAST CHARGING; GENETIC OPERATIONS; INITIAL POPULATION; PEAK LOAD; PERFORMANCE MEASUREMENTS; POWER CONTROLLERS; POWER LOAD; PROTOTYPE IMPLEMENTATIONS; SMART GRID; TASK ALLOCATION; TASK MODELS; TIME CONSTRAINTS; TIME EFFICIENCIES; TIME SLOTS;

DATABASE SYSTEMS; ELECTRIC CONNECTORS; ELECTRIC LOAD FORECASTING; ELECTRIC VEHICLES; SCHEDULING;

GENETIC ALGORITHMS;

EID: 84863391871     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-28487-8_21     Document Type: Conference Paper

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