| 書目名稱 | Decision Making Algorithms for Hydro-Power Plant Location |
| 編輯 | Mrinmoy Majumder,Soumya Ghosh |
| 視頻video | http://file.papertrans.cn/265/264197/264197.mp4 |
| 概述 | Includes supplementary material: |
| 叢書名稱 | SpringerBriefs in Energy |
| 圖書封面 |  |
| 描述 | The present study has attempted to apply the advantage of neuro-genetic algorithms for optimal decision making in maximum utilization of natural resources. Hydro-power is one of the inexpensive, but a reliable source of alternative energy which is foreseen as the possible answer to the present crisis in the energy sector. However, the major problem related to hydro-energy is its dependency on location. An ideal location can produce maximum energy with minimum loss. Besides, such power-plant also requires substantial amount of land which is a precious resource nowadays due to the rapid and uncontrolled urbanization observed in most of the urban centres in the World. The feasibility of such plants also depends on social acceptance as well as the level of environmental casualty and economic benefit, all of which is also spatially dependent. Decision making algorithms are applied to identify better solution if a problem has more than one alternative explication. Nature based algorithms are found to be efficient enough to catalyze such kind of decision making analysis. That is why the present study tries to utilize nature based algorithms to solve the problems of location selection for |
| 出版日期 | Book 2013 |
| 關(guān)鍵詞 | Analytical Hierarchy Process; Bat Algorithm; Bioinspired Algorithms; Decision Making Algorithms; Fuzzy L |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-4451-63-5 |
| isbn_softcover | 978-981-4451-62-8 |
| isbn_ebook | 978-981-4451-63-5Series ISSN 2191-5520 Series E-ISSN 2191-5539 |
| issn_series | 2191-5520 |
| copyright | The Author(s) 2013 |
|Archiver|手機版|小黑屋|
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