國立虎尾科技大學 |

Optimizing solutions for real-life problems

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Optimizing solutions for real-life problems/ edited by Nilanjan Dey.
其他作者:	Dey, Nilanjan.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	ix, 283 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Machine Learning. -
電子資源:	https://doi.org/10.1007/978-981-96-3216-9
ISBN:	9789819632169

Optimizing solutions for real-life problems
Optimizing solutions for real-life problems[electronic resource] /edited by Nilanjan Dey. - Singapore :Springer Nature Singapore :2025. - ix, 283 p. :ill. (some col.), digital ;24 cm. - Springer tracts in nature-inspired computing,2524-5538. - Springer tracts in nature-inspired computing..

Revolutionizing Optimization in Real-Life Implementation -- Swarm Intelligence Applications in Spinal Health -- Optimization Techniques for Critical Issues in Power Amplifiers -- Harnessing Nature-Inspired Optimization for Enhanced Battery Efficiency and Sustainable Time Management -- Optimized Approaches for Real-Life Sentiment Analysis in E-Commerce -- From Nature to Navigation: A Comparative Study of Biologically Inspired Path Planning -- Optimum Solution for Frequency Regulation of Interconnected Power Grid Using Hybrid Genetic Firefly Algorithm Optimized PI-PD Cascade Controller -- Optimization and machine learning algorithms for multivariate geochemical data analysis and anomaly detection -- Integrating Game Theory and Explainable AI for Optimized Software Code Analysis -- Enhancing Feature Selection using Multi-Objective Optimization Concept -- Solving Real-Life Challenges using Bat Algorithm.

This book explores various optimization techniques that can be used to address problems in the real world. These problems can be found in healthcare, engineering, manufacturing, and many other fields. In many real-world situations, from business to science, optimization techniques are similar to problem-solving tools. They help us make the best choices by considering limitations (constraints) and what we are trying to achieve (objectives). These techniques sift through all the possibilities and find the most effective option. Optimization is similar to a toolbox filled with different problem-solving methods, such as linear programming or genetic algorithms. These tools help us make better decisions about allocating resources across many different fields. They do this by finding the most efficient and effective solutions, considering all the limitations and goals involved.

ISBN: 9789819632169

Standard No.: 10.1007/978-981-96-3216-9doiSubjects--Topical Terms:

1137723
Machine Learning.

LC Class. No.: QA76.9.N37

Dewey Class. No.: 006.38

Optimizing solutions for real-life problems
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