Optimal power system generation scheduling by multi-objective genetic algorithms with preferences

Reliability Engineering and System Safety

Volumn 94, Issue 2, 2009, Pages 432-444

  Zio, E ^a   Baraldi, P ^a   Pedroni, N ^a  

^a POLITECNICO DI MILANO   (Italy)

Author keywords

Environmental safety; Evolutionary algorithm; Guided dominance; Multi objective optimization; Pareto optimality; Power system generation scheduling; Preferences; Weights

Indexed keywords

ALGORITHMS; BOOLEAN FUNCTIONS; DIESEL ENGINES; ELECTRIC POWER SYSTEMS; ELECTRIC POWER TRANSMISSION NETWORKS; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; LEARNING ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; NUMERICAL METHODS; OPTIMIZATION; POWER TRANSMISSION; SAFETY ENGINEERING; SCHEDULING; SCHEDULING ALGORITHMS; SET THEORY; SOLUTIONS;

ENVIRONMENTAL SAFETY; GUIDED DOMINANCE; PARETO OPTIMALITY; POWER SYSTEM GENERATION SCHEDULING; PREFERENCES; WEIGHTS;

PARETO PRINCIPLE;

EID: 54049126901     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2008.04.004     Document Type: Article

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