Evolutionary hybrid approaches for generation scheduling in power systems

European Journal of Operational Research

Volumn 177, Issue 3, 2007, Pages 2050-2068

  Dahal, Keshav P ^a   Aldridge, Chris J ^b   Galloway, Stuart J ^b  

^a UNIVERSITY OF BRADFORD   (United Kingdom)

^b UNIVERSITY OF STRATHCLYDE   (United Kingdom)

Author keywords

Evolutionary computations; Genetic algorithms; Knowledge based systems; Power systems; Scheduling

Indexed keywords

ELECTRIC POWER SYSTEMS; ELECTRICITY; GENETIC ALGORITHMS; KNOWLEDGE BASED SYSTEMS; MATHEMATICAL PROGRAMMING; OPTIMIZATION; PROBLEM SOLVING; SCHEDULING;

CONTINUOUS VARIABLES; GENERATION SCHEDULING (GS); REALISTIC TIMEFRAME; SCHEDULING INTERVAL;

EVOLUTIONARY ALGORITHMS;

EID: 33750689890     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2005.12.018     Document Type: Article

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