TY - JOUR
AU - Vladimiro Miranda
AB - This paper proposes an integrated approach of genetic algorithms, Tabu search and simulated annealing for multi‐stage (dynamic) transmission network expansion planning. The proposed algorithm integrates the most interesting and best features of the above individual algorithms. The efficiency and reliability of the proposed algorithm is proved with the modified Garver's six‐bus network. Finally, a real‐world application (Sri Lankan transmission network) of the integrated algorithm is presented for multi‐stage transmission expansion planning.
TI - A hybrid meta‐heuristic algorithm for transmission expansion planning
JF - COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
DO - 10.1108/03321640410507789
DA - 2004-03-01
UR - https://www.deepdyve.com/lp/emerald-publishing/a-hybrid-meta-heuristic-algorithm-for-transmission-expansion-planning-JH0uYuO7V8
SP - 250
EP - 262
VL - 23
IS - 1
DP - DeepDyve
ER -