EconPapers    
Economics at your fingertips  
 

Preface

Feng Pan (), Qi Gao (), Xiao-xue Feng () and Wei-xing Li ()
Additional contact information
Feng Pan: Beijing Institute of Technology, School of Automation
Qi Gao: Beijing Institute of Technology, School of Automation
Xiao-xue Feng: Beijing Institute of Technology, School of Automation
Wei-xing Li: Beijing Institute of Technology, School of Automation

Chapter Chapter 1 in Particle Swarm Optimizer and Multi-Objective Optimization, 2025, pp 1-19 from Springer

Abstract: Abstract An optimization problem (1. Particle Swarm Optimization [M], Science Press, Beijing; 2. Particle Swarm Algorithm and Applications [M], Science Press, Beijing) involves finding a set of parameter values that satisfy certain constraints and fulfill specific optimality criteria, thereby maximizing or minimizing particular performance metrics of a system.

Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-95-3381-7_1

Ordering information: This item can be ordered from
http://www.springer.com/9789819533817

DOI: 10.1007/978-981-95-3381-7_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-08
Handle: RePEc:spr:sprchp:978-981-95-3381-7_1