LEADER 03376nam 2200517Ia 450 001 9910739474303321 005 20200520144314.0 010 $a981-4451-63-0 024 7 $a10.1007/978-981-4451-63-5 035 $a(OCoLC)849511621 035 $a(MiFhGG)GVRL6WKF 035 $a(CKB)2560000000105471 035 $a(MiAaPQ)EBC1317314 035 $a(EXLCZ)992560000000105471 100 $a20130328d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aDecision making algorithms for hydro-power plant location /$fMrinmoy Majumder and Soumya Ghosh 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (vi, 73 pages) $cillustrations (some color), color maps 225 0 $aSpringer briefs in energy 300 $a"ISSN: 2191-5520." 311 $a981-4451-62-2 320 $aIncludes bibliographical references. 327 $aIntroduction -- Hydro-Power Plants -- Decision Making Procedures -- Nature Based Algorithms -- Case Studies -- Conclusions. 330 $aThe present study has attempted to apply the advantage of neuro-genetic algorithms for optimal decision making in maximum utilization of natural resources. Hydro-power is one of the inexpensive, but a reliable source of alternative energy which is foreseen as the possible answer to the present crisis in the energy sector. However, the major problem related to hydro-energy is its dependency on location. An ideal location can produce maximum energy with minimum loss. Besides, such power-plant also requires substantial amount of land which is a precious resource nowadays due to the rapid and uncontrolled urbanization observed in most of the urban centres in the World. The feasibility of such plants also depends on social acceptance as well as the level of environmental casualty and economic benefit, all of which is also spatially dependent. Decision making algorithms are applied to identify better solution if a problem has more than one alternative explication. Nature based algorithms are found to be efficient enough to catalyze such kind of decision making analysis. That is why the present study tries to utilize nature based algorithms to solve the problems of location selection for hydropower plants. The study employed six different types of nature based algorithms to select one of the locations among many available for installation of hydropower plant in the North Eastern part of the Indian subcontinent. The locations are selected based on their in stream resources and included in the decision making as alternatives. A methodology of criteria selection, determination of weightage and applications of bioinspired algorithms are adopted to produce utmost exertion of the available natural resources with minimum hostility and wastage of the same. 410 0$aSpringerBriefs in energy. 606 $aWater-power 606 $aPower-plants 615 0$aWater-power. 615 0$aPower-plants. 676 $a333.9140151 676 $a621.319 700 $aMajumder$b Mrinmoy$0875357 701 $aGhosh$b Soumya K$0763018 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910739474303321 996 $aDecision making algorithms for hydro-power plant location$94203297 997 $aUNINA