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Nature Inspired Optimization Techniques An Introduction | Mohan Chander & Kusum Deep | 1st Edition | New Age International Publication ( English Medium )
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| 631-799 |
[Shipping Cost = Standard Mode, Expedite Mode]
Nature Inspired Optimization Techniques An Introduction | Mohan Chander & Kusum Deep | 1st Edition | New Age International Publication ( English Medium )
Nature Inspired Optimization Techniques: An Introduction is a comprehensive guide written by Mohan Chander and Kusum Deep. This first edition book is published by New Age International Publication in English medium. The book provides a detailed introduction to various optimization techniques inspired by nature, such as genetic algorithms, particle swarm optimization, ant colony optimization, and artificial bee colony optimization.
The authors explain the concepts of nature-inspired optimization techniques in a simple and easy-to-understand manner, making it accessible to readers with varying levels of expertise. The book covers the theoretical foundations of each optimization technique, along with practical examples and case studies to demonstrate their applications in real-world problems.
Readers will learn how nature-inspired optimization techniques can be used to solve complex optimization problems in various fields, including engineering, computer science, economics, and biology. The book also discusses the advantages and limitations of each optimization technique, helping readers make informed decisions when choosing the right approach for their specific problem.
Whether you are a student, researcher, or practitioner looking to expand your knowledge of optimization techniques, Nature Inspired Optimization Techniques: An Introduction is an essential resource that will help you understand and apply these powerful tools in your work.
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Product Details
| SKU / BOOK Code: | NewAge-Optimization-Tech-In(E) |
| Publisher: | New Age International Publishers |
| Author: | Mohan Chander & Kusum Deep |
| Binding Type: | Paperback |
| No. of Pages: | 280 |
| ISBN-10: | 93-89802-69-6 |
| ISBN-13: | 978-93-89802-69-6 |
| Edition: | 1st Edition |
| Language: | English Medium |
| Publish Year: | 2026-07 |
| Weight (g): | 300 |
| Product Condition: | New |
| Reading Age: | Above 18 Years |
| Country of Origin: | India |
| Genre: | Textbooks & Study Guides |
| Manufacturer: | New Age International Publishers |
| Importer: | New Age International Publishers |
| Packer: | Fullfilled by Supplier |
Product Description
Nature Inspired Optimization Techniques An Introduction | Mohan Chander & Kusum Deep | 1st Edition | New Age International Publication ( English Medium )
Nature Inspired Optimization Techniques: An Introduction is a comprehensive guide written by Mohan Chander and Kusum Deep. This first edition book is published by New Age International Publication in English medium. The book provides a detailed introduction to various optimization techniques inspired by nature, such as genetic algorithms, particle swarm optimization, ant colony optimization, and artificial bee colony optimization.
The authors explain the concepts of nature-inspired optimization techniques in a simple and easy-to-understand manner, making it accessible to readers with varying levels of expertise. The book covers the theoretical foundations of each optimization technique, along with practical examples and case studies to demonstrate their applications in real-world problems.
Readers will learn how nature-inspired optimization techniques can be used to solve complex optimization problems in various fields, including engineering, computer science, economics, and biology. The book also discusses the advantages and limitations of each optimization technique, helping readers make informed decisions when choosing the right approach for their specific problem.
Whether you are a student, researcher, or practitioner looking to expand your knowledge of optimization techniques, Nature Inspired Optimization Techniques: An Introduction is an essential resource that will help you understand and apply these powerful tools in your work.
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We practice Easy Return / Exchange / Refund policy for Buyer Protection, So if you experience any difficulties like (Wrong Item delivered) with any of the product received, you can raise request under Return / Exchange Policy through the EXAM360 Customer support Portal i.e. https://support.exam360.in/ with valid details. Once our executive validate the case properly, we will take necessary steps as per the Policy Standard & we will be more than happy to help you to solve your issues ASAP.
While receiving the item from any of our courier partner, users are requested to check the packaging item properly, If you feel the item is delivering by the logistic partners in tampering conditions, we request our buyers not to accept the product & instantly make a call to the below mentioned HELPLINE Numbers. And, If you purchased an item that was not satisfactory, in such cases we will issue Return / Refund as per the current policy guidelines.
Selling Price & Shipping Fee: In Product details page we have clearly mentioned the Selling Price & Shipping Fees separately, So, when you click on "BUY NOW" You will be charges Selling Price + Shipping Fees. The Shipping fees may different for each products depends on the weight of the Product. The shipping cost includes the courier charges, packaging charges, transport charges, fuel charges and other charges. Sometimes the total payable amount may be different for Instamojo Payment Gateway. Buyers are requested to check before purchasing the products. After making the purchase we may not allow or consider users to modify.
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Generally the courier partner support delivery during business hours (9:00 - 20:00) Mon - Sat: Fedex, Trackon, Gati, Delhivery, Indian Post.
The actual delivery time may differ from the given Estimated timeline. For more information on delivery time and shipping charges, please refer to our dedicated support team through ECG Portal.
Note: Expected Delivery time may differ from the Estimated or Projected delivery time & it does not include holidays.
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