Unit Commitment by Adaptive Particle Swarm Optimization

IEEJ Transactions on Power and Energy- Japan

doi 10.1541/ieejpes.127.155

Full Text

Abstract

Available in

Date

Authors

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Related search

A Novel Way Out to Unit Commitment Problem Utilizing Evolutionary Particle Swarm Optimization

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

Improved Adaptive Holonic Particle Swarm Optimization

Mathematical Problems in Engineering
MathematicsEngineering
2019English

Adaptive Multiswarm Comprehensive Learning Particle Swarm Optimization

Information (Switzerland)
Information Systems
2018English

Load Feasible Region Determination by Using Adaptive Particle Swarm Optimization

Engineering Journal
Engineering
2019English

An Adaptive Multi-Swarm Competition Particle Swarm Optimizer for Large-Scale Optimization

Mathematics
Mathematics
2019English

Self-Adaptive Quantum Particle Swarm Optimization for Dynamic Environments

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2018Portuguese

Adaptive Particle Swarm Optimization Using Information About Global Best

IEEJ Transactions on Electronics, Information and Systems
Electronic EngineeringElectrical
2006English

A Self-Adaptive Global Particle Swarm Optimization Algorithm for Unconstrained Optimization Problems

International Journal of Signal Processing, Image Processing and Pattern Recognition
Signal Processing
2014English

Thinning of Antenna Array via Adaptive Memetic Particle Swarm Optimization

Eurasip Journal on Wireless Communications and Networking
Computer NetworksComputer Science ApplicationsSignal ProcessingCommunications
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy