Language:
English
US
China
Cart
0
Login/Create Portal Account
All Products
All Products
Books
Journals
Videos
Book Chapters
Journal Articles
Video Lessons
Teaching Cases
Special Offers
All IGI Global Scholarly Journals Shift to Open Access
Following the first conversion of a portion of IGI Global’s hybrid open access/subscription-based journals to gold open access (OA) in 2021, and then again in 2022, IGI Global is pleased to announce that the remainder of their hybrid open access/subscription-based journal collection will officially convert to gold OA beginning January 1st, 2023.
Learn More
IGI Global’s New Emerging Topic e-Book Collections
Acquire highly focused and affordable Cutting-Edge Peer-Reviewed Research Content through a selection of 17 topic-focused e-Book Collections discounted up to 90%, compared to list prices. Collection topics include Diversity, Equity, and Inclusion (DEI), Artificial Intelligence, Language Learning, Marketing and Customer Relations, Religious and Indigenous Studies, and more. Hosted on the InfoSci
®
platform, these collections feature no DRM, no additional cost for multi-user licensing, no embargo of content, full-text PDF & HTML format, and more.
Learn More
Open Access Book (Free Access) - New Models of Higher Education: Unbundled, Rebundled, Customized, and DIY (ISBN: 9781668438091)
The Walmart Corporation and the Lumina Foundation have provided funding to make the publication, New Models of Higher Education: Unbundled, Rebundled, Customized, and DIY (ISBN: 9781668438091), Fully Open Access, completely removing any paywall between researchers in education and the new models for the future of higher education.
Learn More
Open Access Book (Free Access) - Handbook of Research on the Global View of Open Access and Scholarly Communications (ISBN: 9781799898054)
Through a Collaboration between IGI Global and the University of North Texas, the Handbook of Research on the Global View of Open Access and Scholarly Communications (ISBN: 9781799898054) has been published as Fully Open Access, completely removing any paywall between researchers of any field, and the latest research on the equitable and inclusive nature of Open Access and all of its complications.
Learn More
Books
Books
Open Access Books
OnDemand Book Chapters
Books by Subject
Business, Administration, & Management
Scientific, Technical, & Medical (STM)
Education
Books by Field
Business & Management
Computer Science & Technology
Education
Environment & Agriculture
Government & Law
Library & Information Science
Media & Communications
Medicine & Healthcare
Science & Engineering
Security & Forensics
Social Sciences & Humanities
Journals
Journals
OnDemand Journal Articles
Journals by Subject
Business, Administration, & Management
Scientific, Technical, & Medical (STM)
Education
Journals by Field
Business & Management
Computer Science & Technology
Education
Environment & Agriculture
Government & Law
Library & Information Science
Media & Communications
Medicine & Healthcare
Science & Engineering
Security & Forensics
Social Sciences & Humanities
e-Collections
Open Access
Open Access Publishing
Open Access Journals
Open Access Books
Retrospective Open Access
Open Access Agreements
Publish
with Us
Resources
Librarians
e-Collections
Book Title List
Journal Title List
Video Title List
Library Collection Development Service
Browse Forthcoming Books
Consortia Partnerships
Library and Publisher Collaborations
Product Distributors
Catalogs
Open Access Initiative
Instructors
Course Adoption
Teaching Cases
K-12 Online Learning Collection
Researchers
Browse Books
Browse Journals
Browse Forthcoming Books
Search Open Access Content
OnDemand Downloads
Webinars
Authors and Editors
eEditorial Discovery
®
System
Peer Review Process
Ethics and Malpractice
COPE Membership
Fair Use Policy
Open Access Publishing
FAQ
Distributors
Distributor Resources
Book Distributors
Journal Subscription Agencies
E-Resource Partners
Browse Forthcoming Books
Catalogs
About Us
Newsroom
What is Particle Swarm Optimization
1.
A type of bio-inspired
optimization
algorithm inspired by how the fish school and birds fly.
Learn more in: Metaheuristic Approaches for Extrusion Manufacturing Process: Utilization of Flower Pollination Algorithm and Particle Swarm Optimization
2.
A popular natured inspired metaheuristic technique modeled upon the actions of animals.
Learn more in: Melanoma Identification Using MLP With Parameter Selected by Metaheuristic Algorithms
3.
A social-based algorithm that iteratively enhances solutions locally by updating features of position and velocity of a solution (bird) to finally reach a global optimum solution.
Learn more in: Designing Multilayer Feedforward Neural Networks Using Multi-Verse Optimizer
4.
A natural-based technique which relays on a certain insight concerning on persons actions and cognitions.
Learn more in: Blood Pressure Estimation with Considering of Stroke Volume Effect
5.
Evolutionary Computation technique that basis its functioning on natural
swarm
behaviour like the birds. This algorithm uses a
swarm
of
particle
s to explore the search space
Learn more in: 2D-PAGE Analysis Using Evolutionary Computation
6.
Copying the behaviour of animal
swarm
s to find optima.
Learn more in: Optimization of Tuned Mass Dampers to Improve the Earthquake Resistance of High Buildings
7.
Particle Swarm Optimization
(PSO) algorithm was introduced by Kennedy and Eberhart in 1995, which is a heuristic global
optimization
method and a member of
swarm
intelligence family. PSO is a computational intelligence-based technique that is not largely affected by the size and nonlinearity of the problem, and can converge to the optimal solution in many problems where most analytical methods fail to converge.
Learn more in: Swarm Intelligence-Based Optimization for PHEV Charging Stations
8.
Computational method that optimizes a problem by iteratively trying to improve a solution with regard to a given measure of quality.
Learn more in: A Survey of Tasks Scheduling Algorithms in Distributed Computing Systems
9.
It is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.
Learn more in: Quantum Inspired Swarm Optimization for Multi-Level Image Segmentation Using BDSONN Architecture
10.
The
Particle Swarm Optimization
(PSO) is a population based stochastic
optimization
technique that can be used to find an optimal, or near optimal, solution to a numerical and qualitative problem. PSO was originally developed by Eberhart and Kennedy in 1995, inspired by the social behavior of flocking birds or a school of fish.
Learn more in: Swarm Intelligence in Text Document Clustering
11.
It is an
optimization
paradigm inspired by the movement of
swarm
in nature.
Learn more in: Evolutionary Computing: Principles and Applications to Portfolio Optimization
12.
It is an
optimization
method that iteratively tries to improve solution based on certain measures.
Learn more in: Heart Disease Diagnosis: A Machine Learning Approach
13.
A search strategy that starts from an initial set of candidate solutions (the
particle
s) and try to improve them by looking at their neighbors in the solution spaces. A solution, or
particle
is moved according to a local criteria (i.e. the
particle
moves to the local best), in combination with a criteria based on the situation of all other
particle
s (i.e. the
particle
moves to the best known position of the other
particle
s).
Learn more in: Transportation Network Optimization
14.
Optimization
technique inspired by the exploratory behavior of animal
swarm
s/flocks/herds in search of food.
Learn more in: Particle Swarm Optimization and Image Analysis
15.
A population-based
optimization
algorithm inspired by the
swarm
movements of flocks (e.g., fish, birds).
Learn more in: Imprecise Solutions of Ordinary Differential Equations for Boundary Value Problems Using Metaheuristic Algorithms
16.
It is a population-based evolutionary computation technique that works according to the principles of bird flocking, fish schooling.
Learn more in: Realizing the Need for Intelligent Optimization Tool
17.
Particle swarm optimization
(PSO) is a stochastic
optimization
approach, modeled on the social behaviour of bird flocks. PSO is a population-based search procedure where the individuals, referred to as
particle
s, are grouped into a
swarm
. Applications of PSO include function approximation, clustering,
optimization
of mechanical structures, and solving systems of equations.
Learn more in: Intelligence-Based Adaptive Digital Watermarking for Images in Wavelet Transform Domain
18.
A computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. The population of
particle
s are moving in the search space, according with an heuristic based on each
particle
’s position and velocity. Each
particle
’s movement is influenced by its local best known position and by the best position of the
swarm
, which are updated as better positions are found by other
particle
s.
Learn more in: Melanocytic Lesions Screening through Particle Swarm Optimization
19.
PSO is an attractive stochastic
optimization
technique inspired by social behavior of living being such as birds flocking or fish schooling, introduced by Dr. Kennedy and Dr. Eberhart in 1995. The PSO algorithm is that population called
swarm
and consists of individuals called
particle
s. The
swarm
is randomly generated in which
particle
changes their position (states) with time. In PSO each
particle
is moving in a multidimensional search space to adjust its position according to its own experience with the best solution it has achieved so for called pbest and the position tracked by its neighboring
particle
called lbest . When a
particle
takes all the
swarm
as its neighbors the best value (global best) will be called as gbest . The
particle swarm optimization
concept consists of, at each time step, changing the velocity of (accelerating) each
particle
toward its pbest and lbest locations (local version of PSO).
Learn more in: Optimal Placement and Sizing of Distributed Generation in Distribution System Using Modified Particle Swarm Optimization Algorithm: Swarm-Intelligence-Based Distributed Generation
20.
PSO is a population based self adaptive stochastic
optimization
technique inspired by social behavior such as bird flocking or fish schooling.
Learn more in: Particle Swarm Optimization Algorithm and its Hybrid Variants for Feature Subset Selection
21.
A computational method that optimizes problem within the defined searching space by using the moment and intelligence of
swarm
s.
Learn more in: Application of Standard Deviation Method Integrated PSO Approach in Optimization of Manufacturing Process Parameters
22.
Kennedy et al originally proposed the PSO algorithm for
optimization
. It is a population based search algorithm based on simulation behavior of birds. PSO soon become very popular for global optimizer. In PSO
particle
s are flown through hyper dimension search space. Changes to the position of
particle
within the search space are based on the social psychological tendency of individuals to emulate the success of other individuals. The position of
particle
s change according to their own experience.
Learn more in: An Evolutionary Approach for Load Balancing in Cloud Computing
23.
A
swarm
intelligence based algorithm to find a solution to an
optimization
problem in a search space, or model and predict social behavior in the presence of objectives.
Learn more in: An Improved Particle Swarm Optimization for Indoor Positioning
24.
is an
optimization
algorithm inspired by the movement aesthetics of a bird flock or a fish school trying to get closer to the food source and finally reach the target. Each individual in the flock represents a
particle
with a particular velocity, where each of them represents a feasible solution in the solution space.
Learn more in: Competency Mapping in Academic Environment: A Swarm Intelligence Approach
25.
Particle swarm optimization
(PSO) helps to optimize a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.
Learn more in: Application of Artificial Intelligence Techniques to Handle the Uncertainty in the Chemical Process for Environmental Protection
26.
Particle Swarm Optimization
(PSO) algorithm was introduced by Kennedy and Eberhart in 1995, which is a heuristic global
optimization
method and a member of
swarm
intelligence family. PSO is a computational intelligence-based technique that is not largely affected by the size and nonlinearity of the problem, and can converge to the optimal solution in many problems where most analytical methods fail to converge.
Learn more in: Hybrid Particle Swarm and Gravitational Search Optimization Techniques for Charging Plug-In Hybrid Electric Vehicles
27.
It is motivated from social behavior of bird or fish, where a group of birds randomly look for food in an area by following the nearest bird to the food.
Learn more in: Application of Computational Intelligence Techniques in Wireless Sensor Networks the State of the Art
Find more terms and definitions using our
Dictionary Search
.
Particle Swarm Optimization
appears in:
Handbook of Research on Applied Optimization...
Search inside this book for more research materials.
Recommend to a Librarian
Recommend to a Colleague
Looking for research materials? Search our database for more
Particle Swarm Optimization
downloadable research papers.
InfoSci-OnDemand
Download Premium Research Papers
Full text search our database of 176,600 titles for
Particle Swarm Optimization
to find related research papers.
Learn More About Particle Swarm Optimization in These Related Titles
Handbook of Research on Organizational Cultu...
Business & Management
Copyright 2021. 394 pages.
Organizations are facing major disruptions in tech...
In Stock
$29.50 Individual Chapters
Handbook of Research on Clinical Application...
Medicine & Healthcare
Copyright 2020. 1356 pages.
In the past, individuals in the dentistry field ha...
In Stock
$29.50 Individual Chapters
Theory and Practice of Business Intelligence...
Medicine & Healthcare
Copyright 2020. 322 pages.
Business intelligence supports managers in enterpr...
In Stock
$29.50 Individual Chapters
Handbook of Research on the Global Impacts a...
Media & Communications
Copyright 2020. 539 pages.
The world is witnessing a media revolution similar...
In Stock
$29.50 Individual Chapters
Cloud Computing Systems and Applications in...
Medicine & Healthcare
Copyright 2017. 282 pages.
The implementation of cloud technologies in health...
In Stock
$29.50 Individual Chapters
Handbook of Research on Computerized Occlusa...
Medicine & Healthcare
Copyright 2015. 973 pages.
Modern medicine is changing drastically as new tec...
In Stock
$29.50 Individual Chapters
Educational, Psychological, and Behavioral C...
Media & Communications
Copyright 2014. 465 pages.
Online communities continue to evolve as more peop...
In Stock
$29.50 Individual Chapters
Servant Leadership: Research and Practice
Business & Management
Copyright 2014. 405 pages.
Leaders represent a necessary part of any organiza...
In Stock
$29.50 Individual Chapters
Integrated Operations in the Oil and Gas Ind...
Business & Management
Copyright 2013. 457 pages.
The predicted “ICT revolution” has gained increasi...
In Stock
$29.50 Individual Chapters
Electronic Enterprise: Strategy and Architec...
Business & Management
Copyright 2003. 384 pages.
Enterprise evolution (or electronic enterprise) is...
In Stock
$29.50 Individual Chapters