Nature_Inspired_Optimization_Techniques_-_Mohan_&_Deep
Nature_Inspired_Optimization_Techniques_-_Mohan_&_Deep
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Nature Inspired Optimization Techniques - Mohan & Deep

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Product Information

Brand

Amicus Books


Ideal For

Students and Professionals


Age Group

Adults / Higher Education Students


Pack of

1


Author

Chander Mohan / Kusum Deep


Genre

Mathematics / Computer Science


Isbn

9789389802696


Page Count

274


Publisher

New Age International

Product Description


  • Premium Quality: Authored by Chander Mohan and Kusum Deep and published by New Age International, this 274-page volume delivers rigorous academic content on nature-inspired optimisation techniques within the fields of mathematics and computer science.

  • Product Design: The book is methodically organised to introduce readers to bio-inspired and nature-driven computational strategies, presenting algorithms and theoretical underpinnings in a clear, structured format suited to higher education.

  • User Experience: Written for students and professionals, the text balances mathematical rigour with practical applicability, helping readers understand and implement optimisation methods drawn from natural phenomena such as evolution, swarm behaviour, and biological systems.

  • Versatile Occasion: Valuable as a primary course textbook, a supplementary academic reference, or a professional resource, this title supports learning across university modules, research projects, and applied problem-solving scenarios.

  • Ideal For: Particularly suited to higher education students and professionals working in computer science, artificial intelligence, operations research, and applied mathematics who require a dependable reference on modern optimisation techniques.

  • Lifestyle Essential: An indispensable resource for those pursuing mastery in computational intelligence, this book equips readers with the knowledge to tackle complex real-world optimisation challenges using nature-inspired approaches.