Genetic Algorithm for Sparse Optimization of Mills Cross Array Used in Underwater Acoustic Imaging

Teng, Duo; Li, Yatian; Yang, Haisheng; Wei, Zhiqiang; Li, Yaan

doi:10.3390/jmse10020155

Cited by 5 publications

(2 citation statements)

References 29 publications

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“…The mutation probability and the crossover probability determine the system's global and local search capabilities. When they are larger, the recombined individuals will have a high probability of appearing and converge quickly; but at the same time, the replacement of the old and the new is too fast, making some superior individuals may be eliminated prematurely [38][39][40].…”

Section: Determine the Fitness Functionmentioning

confidence: 99%

Dynamic High-Type Interval Type-2 Fuzzy Logic Control for Photoelectric Tracking System

Qin

Zhang²,

Zhao³

et al. 2022

Processes

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This paper proposes a dynamic high-type control (DHTC) method based on an interval type-2 fuzzy logic controller (IT2FLC), which is used in the photoelectric tracking system to improve the steady-state accuracy and response speed. Adding integrators to the traditional multi-loop feedback control loop can increase the system type, thereby speeding up the response speed and improving the steady-state accuracy, but there is a risk of integral saturation. Switching the type dynamically according to the system state can avoid integral saturation while retaining the advantages of the high-type. Fuzzy logic control (FLC) can dynamically change the output value according to the input change and has the advantages of fast response speed and strong ability to handle uncertainties. Therefore, in this paper, the FLC is introduced into the high-type control system, and the output of the FLC is used as the gain of the integrator to control the on-off to achieve the goal of dynamic switching type, which is successfully verified in the experiment. IT2FLC introduces a three-dimensional membership function, which further improves the FLC’s ability to handle uncertainties. From the experimental results, compared with T1FLC, IT2FLC’s ability to handle uncertainties is significantly improved. In addition, in order to speed up the calculation speed of IT2FLC, this paper proposes an improved type-reduction algorithm, which is called weighted-trapezoidal Nie-Tan (WTNT). Compared with the traditional type-reduction algorithm, WTNT has faster calculation speed and better steady-state accuracy, and has been successfully applied to real-time control systems, which has good engineering application value. Finally, in order to reduce the interference of human factors and improve the automation level of the system, a multi-population genetic algorithm (MPGA) is used to iteratively optimize the parameters of the FLC, which improves the output accuracy. On the experimental platform of the flexible fast steering mirror (FFSM), the control effects of the traditional controller, T1FLC and IT2FLC are compared, which proves that the IT2FLC-DHTC system has a faster response performance, higher steady-state accuracy, and stronger ability to handle uncertainties.

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Section: Determine the Fitness Functionmentioning

confidence: 99%

Dynamic High-Type Interval Type-2 Fuzzy Logic Control for Photoelectric Tracking System

Qin

Zhang²,

Zhao³

et al. 2022

Processes

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“…Optimization is one of the popular subjects. It is implemented in many areas, such as manufacturing [1], logistics [2], transportation [3], education [4], communication [5], multimedia [6], and so on. In general, the objective of optimization is to find a solution, formation, or configuration that gives the optimal score, which can be either a minimum value (minimization) or a maximum value (maximation), depending on its objective.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Komodo Algorithm

2022

IJIES

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A novel metaheuristic algorithm is proposed in this paper, namely stochastic komodo algorithm (SKA). This proposed algorithm is an improved version of Komodo mlipir algorithm (KMA), which is inspired by the behaviour of Komodo during foraging and mating. The improvement is conducted by simplifying the basic form of KMA. Like KMA, it consists of three types of Komodo: big male, female, and small male. Male Komodo focuses on intensification. On the other side, females conduct diversification or intensification based on the search space radius. It eliminates sorting mechanism at the beginning of the iteration. Rather than determined from the quality (fitness score), the distribution of the types of Komodo is conducted stochastically at the beginning of every iteration. This proposed algorithm is then tested by using ten functions. Five functions are unimodal, while the five others are multimodal. The proposed algorithm is also compared with several well-known algorithms: football game-based optimization, hide objects game optimization, cloud-theory-based simulated annealing, harmony search, and KMA. The result shows that this proposed algorithm is very competitive compared with these benchmark algorithms in both unimodal and multimodal functions. A female-dominant formation is proven to achieve optimal result.

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Modeling and optimization of coagulant dosage in water treatment plants using hybridized random forest model with genetic algorithm optimization

Achite

Samadianfard

Elshaboury

et al. 2022

Environ Dev Sustain

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Genetic Algorithm for Sparse Optimization of Mills Cross Array Used in Underwater Acoustic Imaging

Cited by 5 publications

References 29 publications

Dynamic High-Type Interval Type-2 Fuzzy Logic Control for Photoelectric Tracking System

Dynamic High-Type Interval Type-2 Fuzzy Logic Control for Photoelectric Tracking System

Stochastic Komodo Algorithm

Modeling and optimization of coagulant dosage in water treatment plants using hybridized random forest model with genetic algorithm optimization

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