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Volumn , Issue , 2012, Pages 98-103

Hydro-thermal scheduling by a hybrid evolutionary programming - Tabu search method with cooling-banking constraints

Author keywords

Dynamic Programming; Evolutionary Programming; Lagrangian Relaxation; Tabu Search; Unit Commitment

Indexed keywords

COMBINATORIAL OPTIMIZATION PROBLEMS; COMPUTATION TIME; CONVENTIONAL METHODS; COST SOLUTIONS; GENERATING UNIT; GENERATION SCHEDULING; GLOBAL OPTIMIZATION TECHNIQUES; HYBRID ALGORITHMS; HYBRID EVOLUTIONARY PROGRAMMING; HYBRID METHOD; HYDROTHERMAL POWER SYSTEMS; INITIAL POPULATION; LAGRANGIAN RELAXATION; LOAD DEMAND; LOCAL OPTIMA; NUMERICAL RESULTS; OPERATING CONSTRAINTS; OPTIMIZATION PROCEDURES; SHORT TERM MEMORY; TABU SEARCH METHOD; UNIT COMMITMENT PROBLEM; UNIT COMMITMENTS;

EID: 84863112425     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCEET.2012.6203795     Document Type: Conference Paper
Times cited : (4)

References (10)
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  • 2
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  • 5
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  • 6
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  • 7
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    • February
    • Nidul Sinha, R. Chakrabarti, and P. K. Chattopadhyay, "Fast Evolutionary Programming Techniques for Short-Term Hydrothermal Scheduling", IEEE Transactions on Power Systems, Vol. 18, No. 1, pp. 214-220, February 2003.
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  • 10
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    • USA
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.