A review on constraint handling strategies in particle swarm optimisation
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A review on constraint handling strategies in particle swarm optimisation
Authors
Keywords
-
Journal
NEURAL COMPUTING & APPLICATIONS
Volume 26, Issue 6, Pages 1265-1275
Publisher
Springer Nature
Online
2015-01-06
DOI
10.1007/s00521-014-1808-5
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Enhanced leader PSO (ELPSO): A new PSO variant for solving global optimisation problems
- (2015) A. Rezaee Jordehi APPLIED SOFT COMPUTING
- Chaotic bat swarm optimisation (CBSO)
- (2015) A. Rezaee Jordehi APPLIED SOFT COMPUTING
- Opposition-based learning in shuffled frog leaping: An application for parameter identification
- (2015) Morteza Alinia Ahandani et al. INFORMATION SCIENCES
- Enhanced leader PSO (ELPSO): A new algorithm for allocating distributed TCSC’s in power systems
- (2015) A. Rezaee Jordehi et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- A chaotic-based big bang–big crunch algorithm for solving global optimisation problems
- (2014) A. Rezaee Jordehi NEURAL COMPUTING & APPLICATIONS
- Particle swarm optimisation for dynamic optimisation problems: a review
- (2014) Ahmad Rezaee Jordehi NEURAL COMPUTING & APPLICATIONS
- CAPSO: Centripetal accelerated particle swarm optimization
- (2013) Zahra Beheshti et al. INFORMATION SCIENCES
- Parameter selection in particle swarm optimisation: a survey
- (2013) A. Rezaee Jordehi et al. JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
- Animal migration optimization: an optimization algorithm inspired by animal migration behavior
- (2013) Xiangtao Li et al. NEURAL COMPUTING & APPLICATIONS
- A new hybrid differential evolution algorithm for the selection of optimal machining parameters in milling operations
- (2012) Ali R. Yildiz APPLIED SOFT COMPUTING
- Particle swarm optimisation for discrete optimisation problems: a review
- (2012) Ahmad Rezaee Jordehi et al. ARTIFICIAL INTELLIGENCE REVIEW
- Cuckoo search algorithm for the selection of optimal machining parameters in milling operations
- (2012) Ali R. Yildiz INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Training support vector data descriptors using converging linear particle swarm optimization
- (2012) Hongbo Wang et al. NEURAL COMPUTING & APPLICATIONS
- Constrained Multiple-Swarm Particle Swarm Optimization Within a Cultural Framework
- (2011) Moayed Daneshyari et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
- Generation and reserve dispatch in a competitive market using constrained particle swarm optimization
- (2009) E. Nasr Azadani et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Co-evolutionary particle swarm optimization to solve constrained optimization problems
- (2008) Xiaoli Kou et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
- Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
- (2008) Y. del Valle et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Boundary Search for Constrained Numerical Optimization Problems With an Algorithm Inspired by the Ant Colony Metaphor
- (2008) G. Leguizamon et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A ranking selection-based particle swarm optimizer for engineering design optimization problems
- (2008) Jinhua Wang et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now