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Applications of Nature-Inspired Computing and Optimization Techniques

Applications of Nature-Inspired Computing and Optimization Techniques

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  • More about Applications of Nature-Inspired Computing and Optimization Techniques


Advancements in Computers, Volume 135, presents interesting chapters on nature-inspired computing and optimization techniques, such as A Brief Introduction to Nature-inspired Computing, Optimization and Applications, Non-linear Interval Optimization Problems, Situation-based Genetic Network Programming, Small Signal Stability Enhancement of Large Interconnected Power System, Air Quality Modelling for Smart Cities of India, and Genetic Algorithm for the Optimization of Infectiological Parameter Values.

Format: Hardback
Length: 562 pages
Publication date: 02 April 2024
Publisher: Elsevier Science & Technology


The 135th volume of Advances in Computers, titled Applications of Nature-inspired Computing and Optimization Techniques, showcases remarkable advancements in the field. This latest edition presents a collection of captivating chapters on diverse and timely topics, encompassing A Brief Introduction to Nature-inspired Computing, Optimization and Applications, an Overview of Non-linear Interval Optimization Problems, Solving the Aircraft Landing Problem using the Bee Colony Optimization (BCO) Algorithm, Situation-based Genetic Network Programming to Solve Agent Control Problems, Small Signal Stability Enhancement of Large Interconnected Power System using Grasshopper Optimization Algorithm Tuned Power System Stabilizer, Air Quality Modelling for Smart Cities of India by Nature Inspired AI – A Sustainable Approach, and much more.

Other sections delve into Genetic Algorithm for the Optimization of Infectiological Parameter Values under Different Nutritional Status, A Novel Influencer Mutation Strategy for Nature-inspired Optimization Algorithms to Solve Electricity Price Forecasting Problem, Recent Trends in Human and Bio Inspired Computing: Use Case Study from Retail Perspective, Domain Knowledge Enriched Summarization of Legal Judgment Documents via Grey Wolf Optimization, and a multitude of other captivating topics.

This comprehensive volume serves as a valuable resource for researchers, scholars, and practitioners in the field of computing, providing insightful perspectives and innovative solutions to complex problems.

Weight: 450g
Dimension: 229 x 151 (mm)
ISBN-13: 9780323957687

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