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Optimisation techniques for electrical power systems. II. Heuristic optimisation methods

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2 Author(s)
Yong-hua Song ; Dept. of Electron. & Comput. Eng., Brunel Univ., Uxbridge, UK ; Irving, M.R.

For pt. I see ibid., vol.14, no.5, p.245-54 (2000). An introduction to mathematical programming based methods was given in the first tutorial of this three-part series. This second part covers major modern heuristic optimisation techniques and their integration and comparison with other methods. This paper discusses evolutionary algorithms; simulated annealing; tabu search; ant colony search; neural networks; and fuzzy programming.

Published in:

Power Engineering Journal  (Volume:15 ,  Issue: 3 )

Date of Publication:

June 2001

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