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Evolutionary Process for Engineering Optimization - (Hardcover) - 1 of 1

Evolutionary Process for Engineering Optimization - (Hardcover)

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Highlights

  • Engineering problems are one of the main focuses of data science, and there is no doubt that engineering is now quickly growing in all sciences and fields.
  • 286 Pages
  • Technology, General

Description



Book Synopsis



Engineering problems are one of the main focuses of data science, and there is no doubt that engineering is now quickly growing in all sciences and fields. Many problems in this domain need to be examined and analyzed by massive and varied methods to help industry and organizations make more informed business decisions, especially for uncovering design, parameter values, market trends, customer preferences, and other helpful information. In addition, engineering problems demand new and sophisticated algorithms based on optimization techniques to treat problems in the real world with high accuracy and productivity. The papers published in this Special Issue (Evolutionary Process for Engineering Optimization) have covered various vital topics, enriching the state of the art in artificial intelligence, machine learning, and engineering domains.

Additionally, these research papers build upon fundamental techniques and approaches previously accomplished. The creativity in the established papers resides in the methods, reviews, and experimental techniques that present an outstanding value for beneficial applications. This is one of the explanations of why this Special Issue has been named "Evolutionary Process for Engineering Optimization". There is also another explanation: practical applications need researchers, scientists, and engineers to find solutions for engineering problems consistent with current technologies and react to the near future demands. That is why researchers must utilize and develop artificial-intelligence-based optimization techniques for specific needs.

Dimensions (Overall): 9.61 Inches (H) x 6.69 Inches (W) x .94 Inches (D)
Weight: 1.8 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 286
Genre: Technology
Sub-Genre: General
Publisher: Mdpi AG
Format: Hardcover
Language: English
Street Date: August 3, 2022
TCIN: 1010789297
UPC: 9783036547718
Item Number (DPCI): 247-36-8060
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.94 inches length x 6.69 inches width x 9.61 inches height
Estimated ship weight: 1.8 pounds
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Q: What kind of format is this book available in?

submitted by AI Shopping Assistant - 25 days ago
  • A: The book is available in hardcover format, which ensures durability and a professional appearance.

    submitted byAI Shopping Assistant - 25 days ago
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Q: What is the main focus of the book?

submitted by AI Shopping Assistant - 25 days ago
  • A: The book focuses on engineering problems, data science applications, and optimization techniques for various industries.

    submitted byAI Shopping Assistant - 25 days ago
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Q: How many pages does the book contain?

submitted by AI Shopping Assistant - 25 days ago
  • A: The book contains a total of 286 pages, providing in-depth insights into engineering optimization.

    submitted byAI Shopping Assistant - 25 days ago
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Q: What topics are covered in this book?

submitted by AI Shopping Assistant - 25 days ago
  • A: The book covers artificial intelligence, machine learning, and advanced optimization techniques in engineering contexts.

    submitted byAI Shopping Assistant - 25 days ago
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Q: Who is the intended audience for this book?

submitted by AI Shopping Assistant - 25 days ago
  • A: The book is intended for readers aged 22 and up, including researchers and professionals in engineering and technology.

    submitted byAI Shopping Assistant - 25 days ago
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