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Khowas Moumita (9 results)
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Budget Optimization and Allocation: An Evolutionary Computing Based Model
Language: English
Published by Bentham Science Publishers, 2018
ISBN 10: 1681087081 ISBN 13: 9781681087085
Condition: As New. Unread book in perfect condition.
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Budget Optimization and Allocation: An Evolutionary Computing Based Model
Language: English
Published by Bentham Science Publishers, 2018
ISBN 10: 1681087081 ISBN 13: 9781681087085
Condition: New.
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Budget Optimization and Allocation: An Evolutionary Computing Based Model
Language: English
Published by Bentham Science Publishers, 2018
ISBN 10: 1681087081 ISBN 13: 9781681087085
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 71.55
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Budget Optimization and Allocation: An Evolutionary Computing Based Model
Language: English
Published by Bentham Science Publishers, 2018
ISBN 10: 1681087081 ISBN 13: 9781681087085
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Budget Optimization and Allocation: An Evolutionary Computing Based Model
Language: English
Published by Bentham Science Publishers, 2018
ISBN 10: 1681087081 ISBN 13: 9781681087085
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Khowas, M: Budget Optimization and Allocation
Language: English
Published by Amazon Digital Services LLC - Kdp, 2018
ISBN 10: 1681087081 ISBN 13: 9781681087085
Taschenbuch. Condition: Neu. Neuware - Budget Optimization and Allocation: An Evolutionary Computing Based Model is a guide for computer programmers for writing algorithms for efficient and effective budgeting. It provides a balance of theory and practice. Chapters explain evolutionary computational techniques (genetic algorithms) and compare these techniques with traditional approaches to budget allocation.A case study on the complex and broad problem of union budgeting of India is presented. The macro and micro economic issues specific to the case discussed, with the growth rate being the final aim of the budget exercise. The authors also present a comparison of the budget allocation practices of different countries, consistent with other factors such as their local economy, culture, population, etc. The use of evolutionary computation to tackle incremental budgeting is also presented. Readers will be able to understand the synergies of modern computational techniques with tried and tested budgeting models.Budget Optimization and Allocation: An Evolutionary Computing Based Model is a useful reference for graduate students, business enterprise programmers, and evolutionary computing/AI researchers who seek to understand new methods of budgeting.
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Budget Optimization and Allocation
Language: English
Published by Bentham Science Publishers, 2018
ISBN 10: 1681087081 ISBN 13: 9781681087085
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Budget Optimization and Allocation
Language: English
Published by Bentham Science Publishers, 2018
ISBN 10: 1681087081 ISBN 13: 9781681087085
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
£ 74.54
£ 4.16 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Budget Optimization and Allocation: An Evolutionary Computing Based Model
Language: English
Published by Bentham Science Publishers, 2018
ISBN 10: 1681087081 ISBN 13: 9781681087085
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 112.51
£ 12.84 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 209.
