Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Computational Intelligence-based Solutions for Quantitative Problems in Engineering

Computational Intelligence-based Solutions for Quantitative Problems in Engineering

Baskar, N.
Rekha, R.
Rajesh, P. V.

Hardcover

Series: Computing

Technology & EngineeringGeneral ComputersGeneral Education

Publisher Price: $109.00

ISBN10: 1922617539
ISBN13: 9781922617538
Publisher: Central West Publishing
Published: Jul 15 2023
Pages: 248
Weight: 1.10
Height: 0.63 Width: 6.00 Depth: 9.00
Language: English

The book provides greater knowledge and understanding about various complex problems arising in different domains of the engineering field and their corresponding solutions based on numerical decision-making. Use of Computational Intelligence in problem investigation and solving involves developing mathematical models, formulating scientific equations by establishing a relationship between two variables involved in a problem, scientific notations and extensive application of factual data to determine the influence of inputs over a process and calculating the values of responses through the conduction of corresponding experimental procedures. Optimization plays a crucial role in identifying the best possible course of action from a given set of alternatives, which are less time-consuming, cost-effective and manpower efficient when complex manufacturing processes are taken into consideration. This multi-disciplinary book covers ten chapters that investigate the properties, performances, troubleshooting, evaluation of processes and fabrication of products, irrespective of domain or discipline. The chapters provide solutions for the different industrial operations and also play a significant role in throwing light on recent innovations in designing data-based solutions. This book also identifies the necessity for newer tools and techniques from a multi-disciplinary approach covering all spheres of methodologies to address the issues above referred. Thus, the ultimate aim of this book is to im- part responsibility for the readers through a slew of eco-friendly and environmentally conscious solutions, which is evident in most of the chapters.

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