Solution of an economic dispatch problem through particle swarm optimization: a detailed survey-part I
A number of modern metaheuristic optimization techniques are being exploited to work out a
single-objective economic dispatch (ED) problem. The dispatch problems even become …
single-objective economic dispatch (ED) problem. The dispatch problems even become …
A dynamic neighborhood-based switching particle swarm optimization algorithm
In this article, a dynamic-neighborhood-based switching PSO (DNSPSO) algorithm is
proposed, where a new velocity updating mechanism is designed to adjust the personal …
proposed, where a new velocity updating mechanism is designed to adjust the personal …
Genetic learning particle swarm optimization
Social learning in particle swarm optimization (PSO) helps collective efficiency, whereas
individual reproduction in genetic algorithm (GA) facilitates global effectiveness. This …
individual reproduction in genetic algorithm (GA) facilitates global effectiveness. This …
A competitive swarm optimizer for large scale optimization
In this paper, a novel competitive swarm optimizer (CSO) for large scale optimization is
proposed. The algorithm is fundamentally inspired by the particle swarm optimization but is …
proposed. The algorithm is fundamentally inspired by the particle swarm optimization but is …
Phasor particle swarm optimization: a simple and efficient variant of PSO
Particle swarm optimizer is a well-known efficient population and control parameter-based
algorithm for global optimization of different problems. This paper focuses on a new and …
algorithm for global optimization of different problems. This paper focuses on a new and …
Self-adaptive bat algorithm with genetic operations
Swarm intelligence in a bat algorithm (BA) provides social learning. Genetic operations for
reproducing individuals in a genetic algorithm (GA) offer global search ability in solving …
reproducing individuals in a genetic algorithm (GA) offer global search ability in solving …
A novel TVAC-PSO based mutation strategies algorithm for generation scheduling of pumped storage hydrothermal system incorporating solar units
With increasing penetration of renewable energy sources, it is necessary to analyze its
impact on the allocation of optimal power generation schedule. In this work, the pumped …
impact on the allocation of optimal power generation schedule. In this work, the pumped …
A new particle swarm optimization algorithm with adaptive inertia weight based on Bayesian techniques
Particle swarm optimization is a stochastic population-based algorithm based on social
interaction of bird flocking or fish schooling. In this paper, a new adaptive inertia weight …
interaction of bird flocking or fish schooling. In this paper, a new adaptive inertia weight …
[HTML][HTML] Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach
The paper presents a low complexity recurrent Functional Link Artificial Neural Network for
predicting the financial time series data like the stock market indices over a time frame …
predicting the financial time series data like the stock market indices over a time frame …
Swarm intelligence approaches to optimal power flow problem with distributed generator failures in power networks
Distributed generation becomes more and more important in modern power systems.
However, the increasing use of distributed generators causes the concerns on the …
However, the increasing use of distributed generators causes the concerns on the …