# A novel chaotic particle swarm optimization approach using Hénon map and implicit filtering local search for economic load dispatch

@article{Coelho2009ANC, title={A novel chaotic particle swarm optimization approach using H{\'e}non map and implicit filtering local search for economic load dispatch}, author={Leandro dos Santos Coelho and Viviana Cocco Mariani}, journal={Chaos Solitons \& Fractals}, year={2009}, volume={39}, pages={510-518} }

## 166 Citations

An Improved Chaotic Particle Swarm Optimization and Its Application in Investment

- Computer Science2008 International Symposium on Computational Intelligence and Design
- 2008

The improved Tent PSO is applied to the investment optimization, and the result of simulation shows better optimization function.

A Particle Swarm Optimization Based Chaotic K-Means Evolutionary Approach

- Computer Science
- 2010

Numerical results indicated that PSO adopting chaotic features can more easily escape from local optima, and meanwhile PSO incorporating with K-means can evidently improve convergence speed.

Study of Adaptive Chaos Embedded Particle Swarm Optimization Algorithm

- Computer Science
- 2012

A new adaptive chaos embedded particle swarm optimization (ACEPSO) algorithm that uses chaotic maps to substitute random numbers of the classical PSO algorithm so as to make use of the properties of stochastic and ergodicity in chaotic search and introduces an adaptive inertia weight factors for each particle to adjust its inertia weight factor adaptively in response to its fitness.

An adaptive chaos embedded particle swarm optimization algorithm

- Computer Science2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering
- 2010

A new adaptive chaos embedded particle swarm optimization (ACEPSO) algorithm that uses chaotic maps to substitute random numbers of the classical PSO algorithm so as to make use of the properties of stochastic and ergodicity in chaotic search and introduces an adaptive inertia weight factors for each particle to adjust its inertia weight factor adaptively in response to its fitness.

Totally disturbed chaotic Particle Swarm Optimization

- Computer Science2012 IEEE Congress on Evolutionary Computation
- 2012

The present study embeds the concept of chaos at different stages of PSO, intending to enhance the convergence speed while trying to avoid stagnation and maintaining the solution quality.

Economic Load Dispatch Using Hybrid Swarm Intelligence Based Harmony Search Algorithm

- Computer Science
- 2011

This work is an attempt to utilize the velocity-based particle updating process from particle swarm optimization in the improvisation process of the harmony search algorithm for a better convergence of the proposed algorithm.

Swarm algorithms with chaotic jumps for optimization of multimodal functions

- Computer Science
- 2011

A hybrid approach which consists of swarm algorithms combined with a jump strategy in order to escape from local optima is developed and tested and indicates the superior performance of the standard PSO with chaotic jump over the standard both using local topology (l best model).

A chaos-based evolutionary algorithm for general nonlinear programming problems

- Computer Science
- 2016

A Chaos Particle Swarm Optimization Based on Adaptive Inertia Weight

- Computer Science
- 2011

The simulation results verify that the ACEPSO algorithm is robust, high precision, and strong global convergence, and is a kind of practical and feasible optimization algorithm.

## References

SHOWING 1-10 OF 36 REFERENCES

Combining of chaotic differential evolution and quadratic programming for economic dispatch optimization with valve-point effect

- Computer ScienceIEEE Transactions on Power Systems
- 2006

The proposed combined method outperforms other state-of-the-art algorithms in solving load dispatch problems with the valve-point effect.

A chaos search immune algorithm with its application to neuro-fuzzy controller design

- Computer Science
- 2006

Large-Scale Economic Dispatch by Artificial Ant Colony Search Algorithms

- Computer Science
- 1999

The outcome of the study shows that an emergent collective search ability resulted from the massive parallel fashion and positive feedback of ant colony is particularly attractive in addressing some difficult engineering problems; however, it should be observed that current research of Ant Colony Search Algorithm in power system is relatively new and still at a feasibility stage.

Optimizing Complex Functions by Chaos Search

- Computer ScienceCybern. Syst.
- 1998

The test results illustrate that the efficiency of COA is much higher than that of some stochastic algorithms such as the simulated annealing algorithm SAA and chemotaxis algorithm CA, which are often used to optimize complex problems.

A hybrid PSO-GD based intelligent method for machine diagnosis

- Computer ScienceDigit. Signal Process.
- 2006

Co-evolutionary particle swarm optimization for min-max problems using Gaussian distribution

- Computer ScienceProceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)
- 2004

A modified PSO using a Gaussian distribution is applied in the context of Co-PSO to solve constrained optimization problems formulated as min-max problems and the results show a superior performance compared to the standard Co- PSO.