Amanote Research
Register
Sign In
Performance Assessment of Evolutionary Algorithms in Power System Optimization Problems
doi 10.1109/ptc.2015.7232622
Full Text
Open PDF
Abstract
Available in
full text
Date
June 1, 2015
Authors
Jose L. Rueda
Istvan Erlich
Francisco Gonzalez-Longatt
Publisher
IEEE
Related search
Evolutionary Algorithms for Dynamic Optimization Problems
A Survey on Handling Computationally Expensive Multiobjective Optimization Problems With Evolutionary Algorithms
Soft Computing
Geometry
Software
Theoretical Computer Science
Topology
Dynamic Embedded Optimization and Shooting Methods for Power System Performance Assessment
Application of Multi-Objective Evolutionary Optimization Algorithms to Reactive Power Planning Problem
IEEJ Transactions on Electrical and Electronic Engineering
Electronic Engineering
Electrical
Evolutionary Optimization of Heterogeneous Problems
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Reliability-Based Optimization Using Evolutionary Algorithms
IEEE Transactions on Evolutionary Computation
Theoretical Computer Science
Computational Theory
Software
Mathematics
A Hybrid Model of Evolutionary Algorithms and Branch-And-Bound for Combinatorial Optimization Problems
Optimization of Aeroelastic Composite Structures Using Evolutionary Algorithms
Engineering Optimization
Control
Industrial
Optimization
Applied Mathematics
Manufacturing Engineering
Management Science
Computer Science Applications
Operations Research
Performance Assessment of Bacterial Foraging Based Power System Stabilizer in Multi-Machine Power System
International Journal of Intelligent Systems and Applications
Control
Signal Processing
Human-Computer Interaction
Optimization
Computer Networks
Simulation
Communications
Computer Science Applications
Modeling
Artificial Intelligence
