| Autor: |
Jagat Kishore Pattanaik, Mousumi Basu, Deba Prasad Dash |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
Journal of Electrical Systems and Information Technology, Vol 5, Iss 3, Pp 349-362 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
2314-7172 |
| DOI: |
10.1016/j.jesit.2018.03.002 |
| Popis: |
This paper develops and recommends improved real coded genetic algorithm (IRCGA) for dynamic economic dispatch problem. Genetic algorithm (GA) is a bunch of evolutionary algorithms root of the human heritable chromosome operation and has the ability to ascertain the global optimal solutions. In this paper, IRCGA has been suggested to heighten convergence speed and solution quality. The efficacy of the suggested technique has been confirmed on two test systems and 15 benchmark functions. Results of two test systems and 15 benchmark functions acquired from the developed IRCGA have been matched up to those achieved by real coded genetic algorithm (RCGA). It has been observed from the comparison that the suggested IRCGA technique has the ability to endow with superior solution. Keywords: Improved real coded genetic algorithm, Dynamic economic dispatch, Ramp rate limits |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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