東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Optimizing solutions for real-life p...

Dey, Nilanjan.

Linked to FindBook

Google Book

Amazon

博客來

Optimizing solutions for real-life problems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimizing solutions for real-life problems/ edited by Nilanjan Dey.
other author:	Dey, Nilanjan.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	ix, 283 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Natural computation. -
Online resource:	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:

1002233
Natural computation.

LC Class. No.: QA76.9.N37

Dewey Class. No.: 006.38

Optimizing solutions for real-life problems
LDR:02866nmm a2200337 a 4500 001 2410326
003 DE-He213
005 20250520130235.0
006 m d
007 cr nn 008maaau
008 260204s2025 si s 0 eng d
020 $a 9789819632169 $q (electronic bk.)
020 $a 9789819632152 $q (paper)
024 7 $a 10.1007/978-981-96-3216-9 $2 doi
035 $a 978-981-96-3216-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.N37
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.38 $2 23
090 $a QA76.9.N37 $b O6 2025
245 0 0 $a Optimizing solutions for real-life problems $h [electronic resource] / $c edited by Nilanjan Dey.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a ix, 283 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer tracts in nature-inspired computing, $x 2524-5538
505 0 $a 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.
520 $a 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.
650 0 $a Natural computation. $3 1002233
650 0 $a Mathematical optimization. $3 517763
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Optimization. $3 891104
650 2 4 $a Machine Learning. $3 3382522
700 1 $a Dey, Nilanjan. $3 2200043
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Springer tracts in nature-inspired computing. $3 3443947
856 4 0 $u https://doi.org/10.1007/978-981-96-3216-9
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)