footer-menu-component

zone2

secondary-primary-menu

About Us

Blogs

Press Center

Events

News

Careers

Our Company

Request a Trial

footer-legal-menu-component

products

mega-menu

Browse by Institution Type

Browse by Product Type

Products

Support

zone1

Marketing materials, training documents, discovery services

cengage:card

FIND YOUR SALES REPRESENTATIVE

cengage:column

Get marketing materials, training documents, discovery services.

PRODUCT SUPPORT

CUSTOMER SUPPORT

Report technical issues, errors, check system status

TECHNICAL SUPPORT

Manage product preferences, generate usage reports, simplify administrative tasks.

ADMIN TOOLS

support

container

footer-social-menu

Sign Up for Emails

CONNECT WITH GALE

Stay up-to-date with the latest Gale news, exclusive offers, and more.

facebook

linkedin

instagram

youtube

SOCIAL ICONS

footer-social-menu-component

cengage:galethorndikeseo

secondary-account-menu

Account Information

bundle-connector

secondary-storefront-menu

International

North America

China

Japan

Latin America

Brazil

Region

Set your region:

footer-legal-menu

Terms of use

Privacy

footer

Profile

Orders

Wish List

Fast Order Entry

My Account

gale-footer

config

header

FIND YOUR REP

support-order-2

single-column

footer-menu

Academic Institutions

K-12

Public Libraries

Government and Special Libraries

Statewide Programs

Institutions

Databases

Primary Sources

Digital Humanities Tools

eLearning

Schools/K-12 Curriculum

Books

Large Print Books by Thorndike Press

Find Your Rep

Product Support

Technical Support

Customer Support

Admin Tools

Accessibility Policy

Partnerships

Contact Us

header-component

zone3

You may already have access to Gale content through your institution.

STUDENTS AND RESEARCHERS

support-order-1

Would you like to go to the Gale {{RECOMMENDED_COUNTRY}} site instead?

It looks like you're visiting from {{DETECTED_COUNTRY}}.

main

%1 products have been added to your cart but %2 have been backordered and will be fulfilled when stock is available

Product on backorder

Current quantity limit is [maxProductQuantity], please, navigate to the cart page and change quantity of product

You will be able to resubmit promo in ${countdown} seconds. test

Please note that the taxes displayed on our website are estimated and subject to adjustment. The actual tax charges will be determined and settled during the final invoicing of your order

product-detail-component

Decision Making Algorithms for Hydro-Power Plant Location

SBE: DECISION MKNG ALGORITHMS FOR HYDRO-PWR PLNT LCTN

Engineering

Mathematics & Science

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

CL Carton Count

Imprint Name

B2B & B2C

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 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.

POST SECONDARY FOUR YEAR

PROFESSIONAL & REFERENCE

COLFR

COLSO

COLJR

COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Other Frontmatter.
Title Page.
Copyright Page.
Contents.
1: Introduction.
2: Hydropower Plants.
3: Decision Making Methodology.
4: Nature-Based Algorithms.
5: Methodology.
6: Result and Discussion.
7: Conclusion.

Decision Making Algorithms for Hydro-Power Plant Location.css-1p8rvzy{position:absolute;padding-left:8px;}

Decision Making Algorithms for Hydro-Power Plant Location