Applying (hybrid) metaheuristics to fuel consumption optimization of hybrid electric vehicles

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

Volumn 7248 LNCS, Issue , 2012, Pages 376-385

  Krenek, Thorsten ^a   Ruthmair, Mario ^a   Raidl, Günther R ^a   Planer, Michael ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

downhill simplex; driving cycles; genetic algorithm; hybrid electric vehicles; hybrid metaheuristic; particle swarm optimization

Indexed keywords

CANDIDATE SOLUTION; DOWNHILL-SIMPLEX; DRIVING CYCLE; HEURISTIC SEARCH; HYBRID ALGORITHMS; HYBRID OPTIMIZATION ALGORITHM; META HEURISTICS; METAHEURISTIC; MINIMIZATION PROBLEMS; MONTE CARLO; OPTIMIZATION METHOD; PARAMETER VALUES; SWARM INTELLIGENCE;

ARTIFICIAL INTELLIGENCE; ELECTRIC VEHICLES; GENETIC ALGORITHMS; HEURISTIC ALGORITHMS; HEURISTIC METHODS; OPTIMIZATION; SECONDARY BATTERIES;

HYBRID VEHICLES;

EID: 84859339595     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-29178-4_38     Document Type: Conference Paper

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