Particle swarm optimization with an aging leader and challengers
In nature, almost every organism ages and has a limited lifespan. Aging has been explored
by biologists to be an important mechanism for maintaining diversity. In a social animal …
by biologists to be an important mechanism for maintaining diversity. In a social animal …
Particle swarm optimization: basic concepts, variants and applications in power systems
Y Del Valle, GK Venayagamoorthy… - IEEE Transactions …, 2008 - ieeexplore.ieee.org
Many areas in power systems require solving one or more nonlinear optimization problems.
While analytical methods might suffer from slow convergence and the curse of …
While analytical methods might suffer from slow convergence and the curse of …
A Survey on FOPID controllers for LFO damping in Power systems using synchronous generators, FACTS devices and inverter-based power plants
In recent decades, various types of control techniques have been proposed for use in power
systems. Among them, the use of a proportional–integral–derivative (PID) controller is widely …
systems. Among them, the use of a proportional–integral–derivative (PID) controller is widely …
A generalized type-2 fuzzy logic approach for dynamic parameter adaptation in bee colony optimization applied to fuzzy controller design
O Castillo, L Amador-Angulo - Information Sciences, 2018 - Elsevier
In this work a Generalized type-2 Fuzzy Logic System (GT2FLS) approach for dynamic
parameter adaptation in metaheuristics and for optimal fuzzy controller design is presented …
parameter adaptation in metaheuristics and for optimal fuzzy controller design is presented …
Bio-inspired algorithms for autonomous deployment and localization of sensor nodes
RV Kulkarni… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Optimal deployment and accurate localization of sensor nodes have a strong influence on
the performance of a wireless sensor network (WSN). This paper considers real-time …
the performance of a wireless sensor network (WSN). This paper considers real-time …
A survey of bacterial foraging optimization
Bacterial foraging optimization algorithm (BFO) is a biological-inspired swarm intelligence
optimization algorithm that simulates the foraging behavior of bacteria to obtain maximal …
optimization algorithm that simulates the foraging behavior of bacteria to obtain maximal …
[PDF][PDF] An analysis of publications on particle swarm optimization applications
R Poli - Essex, UK: Department of Computer Science …, 2007 - Citeseer
Particle swarm optimisation (PSO) has been enormously successful. Within little more than a
decade hundreds of papers have reported successful applications of PSO. In fact, there are …
decade hundreds of papers have reported successful applications of PSO. In fact, there are …
A new reinforcement learning-based memetic particle swarm optimizer
Developing an effective memetic algorithm that integrates the Particle Swarm Optimization
(PSO) algorithm and a local search method is a difficult task. The challenging issues include …
(PSO) algorithm and a local search method is a difficult task. The challenging issues include …
A mean-variance optimization algorithm
I Erlich, GK Venayagamoorthy… - IEEE Congress on …, 2010 - ieeexplore.ieee.org
A new stochastic optimization algorithm referred to by the authors as theMean-Variance
Optimization'(MVO) algorithm is presented in this paper. MVO falls into the category of the so …
Optimization'(MVO) algorithm is presented in this paper. MVO falls into the category of the so …
Small population-based particle swarm optimization for short-term hydrothermal scheduling
J Zhang, J Wang, C Yue - IEEE Transactions on Power Systems, 2011 - ieeexplore.ieee.org
A small population-based particle swarm optimization (SPPSO) approach is presented to
solve the problem of short-term hydrothermal scheduling (STHS). In the proposed approach …
solve the problem of short-term hydrothermal scheduling (STHS). In the proposed approach …