Symbiotic organisms search algorithm for optimal evolutionary controller tuning of fractional fuzzy controllers

Zhou, Yongquan; Miao, Fahui; Luo, Qifang

doi:10.1016/j.asoc.2019.02.002

Cited by 28 publications

(14 citation statements)

References 39 publications

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“…Fractional-order derivatives are characterized by their memory properties providing an excellent approach for describing the physical phenomena elegantly with improved accuracy [1,2]. As a result, the researchers have proposed novel mathematical models with applications in various fields, such as biology, economics, chaos theory, botany, hidden dynamics, digital circuits, cryptography, control, image processing, wind turbines, viscoelastic studies, and ferroelectric materials [3][4][5][6][7][8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Active Realization of Fractional‐Order Integrators and Their Application in Multiscroll Chaotic Systems

et al. 2021

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This paper presents the design, simulation, and experimental verification of the fractional-order multiscroll Lü chaotic system. We base them on op-amp-based approximations of fractional-order integrators and saturated series of nonlinear functions. The integrators are first-order active realizations tuned to reduce the inaccuracy of the frequency response. By an exponential curve fitting, we got a convenient design equation for realizing fractional-order integrators of orders from 0.1 to 0.95. The results include simulations in SPICE of the mathematical description and the electronic implementation and experimental measurements that confirm them. Monte Carlo and sensitivity tests revealed a robust realization. Contrary to its passive counterparts, the suggested realizations significantly reduce design and implementation efforts by favoring resistors and capacitors with commercial values and reducing hardware requirements.

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Section: Introductionmentioning

confidence: 99%

Active Realization of Fractional‐Order Integrators and Their Application in Multiscroll Chaotic Systems

et al. 2021

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“…[27][28][29] For example, the SOS algorithm has application in making optimization to the controller parameter setting process. 30 By mapping the SOS algorithm from continuous space to discrete space, the optimal solution can be searched for in the specified solution setrange. 31 The principle of complex coding diploid is introduced into SOS algorithm.…”

Section: Introductionmentioning

confidence: 99%

Improved Symbiotic Organisms Search Algorithm for Optimal Operation of Active Distribution Systems Incorporating Renewables and Emerging Data‐Center Resources

Zeng

Hao

Wang

et al. 2021

Energy Science & Engineering

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“…In 2014, Cheng and Prayogo pioneered the algorithm. Subsequently, many researchers and scholars improved this algorithm [32,33]. For example, in 2019, Falguni Chakraborty, Debashis Nandi, and Provas Kumar Roy proposed oppositional SOS (OSOS) [30,34].…”

Section: Introductionmentioning

confidence: 99%

Symbiotic Organism Search Algorithm with Multi-Group Quantum-Behavior Communication Scheme Applied in Wireless Sensor Networks

Chu

Pan

2020

Applied Sciences

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The symbiotic organism search (SOS) algorithm is a promising meta-heuristic evolutionary algorithm. Its excellent quality of global optimization solution has aroused the interest of many researchers. In this work, we not only applied the strategy of multi-group communication and quantum behavior to the SOS algorithm, but also formed a novel global optimization algorithm called the MQSOS algorithm. It has speed and convergence ability and plays a good role in solving practical problems with multiple arguments. We also compared MQSOS with other intelligent algorithms under the CEC2013 large-scale optimization test suite, such as particle swarm optimization (PSO), parallel PSO (PPSO), adaptive PSO (APSO), QUasi-Affine TRansformation Evolutionary (QUATRE), and oppositional SOS (OSOS). The experimental results show that MQSOS algorithm had better performance than the other intelligent algorithms. In addition, we combined and optimized the DV-hop algorithm for node localization in wireless sensor networks, and also improved the DV-hop localization algorithm to achieve higher localization accuracy than some existing algorithms.

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Symbiotic organisms search algorithm for optimal evolutionary controller tuning of fractional fuzzy controllers

Cited by 28 publications

References 39 publications

Active Realization of Fractional‐Order Integrators and Their Application in Multiscroll Chaotic Systems

Active Realization of Fractional‐Order Integrators and Their Application in Multiscroll Chaotic Systems

Improved Symbiotic Organisms Search Algorithm for Optimal Operation of Active Distribution Systems Incorporating Renewables and Emerging Data‐Center Resources

Symbiotic Organism Search Algorithm with Multi-Group Quantum-Behavior Communication Scheme Applied in Wireless Sensor Networks

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