Proceedings Article10.1109/ICNC.2010.5582447
A bi-directional chaos optimization algorithm
Ying Song
- 23 Sep 2010
- Vol. 5, pp 2202-2206
4
TL;DR: The main idea of BCOA is to adjust the approach of second carrier wave and to realize the bi-directional search in the sub-optimal solutions rather than the unidirectional search.
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Abstract: Chaos optimization algorithm (COA) as a novel method of global optimization has attracted much attention In order to address the COA's deficiencies in dealing with the large space and high-dimension optimization problems, a bi-directional chaos optimization algorithm (BCOA) is proposed The main idea of BCOA is to adjust the approach of second carrier wave and to realize the bi-directional search in the sub-optimal solutions rather than the unidirectional search Moreover, the parameter of second carrier wave is analyzed The experiments on benchmark functions show that BCOA is capable of improving the search performance significantly no matter in convergent speed or precision It is considerably better and more efficient to tackle the large space and high-dimension multimodal optimization problems
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Citations
Hybrid chaos optimization algorithm with artificial emotion
TL;DR: A new unconstrained global optimization method, hybrid chaos optimization algorithm with artificial emotion (HCOAAE), which avoids trapping to local minima, and improves convergence in large space and high-dimension optimization problems.
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STATCOM versus SSSC for power system stabilization
Abstract: Flexible alternating current transmission systems (FACTS) are gaining more attention in power utilities because of their advantages of controllability, reliability, and operation over a wide range. Static synchronous compensator (STATCOM) and static series synchronous compensator (SSSC) are prominent FACTS topologies; they have the ability to instantaneously regulate active/reactive powers and stabilize the power system following severe disturbances. In this paper, STATCOM and SSSC are compared with regard to their damping action on power system oscillations. The comparison is extended to the controller design strategies. Two distinct meta‐heuristic optimization approaches, namely chaos (CO) and simulated annealing (SA), are recommended for the optimal design of the SSSC and STATCOM damping controller. To assess the promising FACTS topology, a single‐machine infinite bus system is subjected to several disturbances while operating at different loading levels. MATLAB/Simulink is used as a platform to investigate the dynamic performance of the system under consideration with STATCOM and SSSC. Simulation results reveal the superiority of SSSC in damping power system oscillations in terms of response speed and stability margin. Moreover, the CO optimization scheme seems to outperform the SA algorithm in terms of computation requirements and global optimal convergence. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
13
Chaos Algorithm versus Traditional and Optimal Approaches for Regulating Line Frequency of Steam Power System
Ahmed Elhafez,Ali Yosuf +1 more
TL;DR: A comprehensive comparative study between Chaos Optimization Algorithm (COA) and optimal control approaches, such as Linear Quadratic Regulator (LQR), and Optimal Pole Shifting (OPS) regarding the tuning of LFC controller revealed that COA results in the smallest settling time and overshoot compared with traditional controllers and zero steady-state error controllers.
Do Evolutionary Algorithms Indeed Require Random Numbers? Extended Study
Ivan Zelinka,Mohammed Chadli,Donald Davendra,Roman Senkerik,Michal Pluhacek,Jouni Lampinen +5 more
- 01 Jan 2013
TL;DR: It is proposed that a certain class of deterministic processes can be used instead of random number generators without lowering of evolutionary algorithms performance.
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