Topologies and performance of intelligent algorithms: a comprehensive review

A Nabaei, M Hamian, MR Parsaei, R Safdari… - Artificial Intelligence …, 2018 - Springer
Recently, optimization makes an important role in our day-to-day life. Evolutionary and
population-based optimization algorithms are widely employed in several of engineering …

Cuckoo search algorithm for multi-objective optimization of transient starting characteristics of a self-starting HVPMSM

L Wang, H Guo, F Marignetti… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The starting and synchronization process of high-voltage permanent magnetic synchronous
motors (HVPMSM) is a complex electromechanical transient problem. This paper proposes …

[PDF][PDF] A traditional approach to solve economic load dispatch problem considering the generator constraints

SK Dewangan, A Jain, AP Huddar - IOSR Journal of Electrical and …, 2015 - academia.edu
Economic load dispatch (ELD) problem is very important part of the power system. The
purpose of economic dispatch is to determine the generation of different units in a plant such …

[PDF][PDF] A traditional approach to solve economic load dispatch problem of thermal generating unit using MATLAB programming

A Dhamanda, A Dutt, S Prakash… - International Journal of …, 2013 - researchgate.net
Economic load dispatch (ELD) problem is one of the most important in power system
operation and planning. So Many models by using different techniques have been used to …

Study of economic load dispatch by various hybrid optimization techniques

D Santra, A Mondal, A Mukherjee - Hybrid Soft Computing Approaches …, 2016 - Springer
The economic load dispatch (ELD) is one of the most complex optimization problems of
electrical power system. Classically, it is to identify the optimal combination of generation …

[PDF][PDF] Solving economic load dispatch problems using differential evolution with opposition based learning

P Surekha, S Sumathi - WSEAS Transaction on Information Science and …, 2012 - wseas.us
This paper presents a Differential Evolution algorithm combined with Opposition Based
Learning (DE-OBL) to solve Economic Load Dispatch problem with non-smooth fuel cost …

Genetic algorithm based trajectory stabilization of quadrotor

M Gaur, H Chaudhary, S Khatoon… - … Intelligence on Power …, 2016 - ieeexplore.ieee.org
This paper deals with control and stabilization of a quadcopter UAV using Genetic algorithm
tuned PID controller. In this work, conventional GA is improved in two ways: firstly, crossover …

[PDF][PDF] Optimal thermal generating unit commitment with wind power impact: a PSO-IIW procedure

H Shayeghi, HG Firoozjaee, A Ghasemi… - … Journal on Technical …, 2012 - academia.edu
The wind energy is expected to play a significant role in remedying the many shortcomings
in today's modern energy electricity market. In the other hand, wind power becomes a far …

[PDF][PDF] Artificial bee colony optimization for economic load dispatch of a modern power system

GR Tankasala - International journal of scientific & engineering …, 2012 - researchgate.net
This paper deals with optimization of fuel cost of coal fired generators of a modern power
sytem. The conventional method of solving economic load dispatch (ELD) uses Newton …

Short-range fixed head hydrothermal scheduling using fast genetic algorithm

M Murali, MS Kumari, M Sydulu - 2012 7th IEEE Conference …, 2012 - ieeexplore.ieee.org
This paper presents a Fast genetic algorithm for solving Hydrothermal scheduling (HTS)
problem. Genetic Algorithms (GAs) perform powerful global searches, but their long …