Hybrid of the fuzzy logic controller with the harmony search algorithm to PWR in-core fuel management optimization

Mahmoudi, S.M.; Rad, Milad Mansouri; Ochbelagh, Dariush Rezaei

doi:10.1016/j.net.2021.05.011

Cited by 7 publications

(3 citation statements)

References 24 publications

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“…In the work, the parameters such as bandwidth and pitch adjustment rate are adjusted by a fuzzy logic controller to improve the performance of the proposed algorithm. Finally, the superiority of the algorithm is proved by a case study [50].…”

Section: Introductionmentioning

confidence: 94%

A Hybrid Harmony Search Algorithm with Distribution Estimation for Solving the 0-1 Knapsack Problem

Liu

Ouyang

et al. 2022

Mathematical Problems in Engineering

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Many optimization algorithms have been applied to solve high-dimensional instances of the 0-1 knapsack problem. However, these algorithms often fall into a local optimization trap and thus fail to obtain the global optimal solutions. To circumvent this shortcoming, a hybrid harmony search algorithm with distribution estimation is proposed in this paper. A few important features of the proposed algorithm are as follows: (i) the idea of probability distribution estimation is employed to design the adaptive search strategy, (ii) a fixed improvisation process is presented to improve the algorithm searching ability, (iii) a new method of initialization is used to ensure that the initialization is feasible harmony and (iv) an improved remediation approach is proposed to effectively repair the infeasible solutions. To assess the effectiveness of the proposed algorithm, some experiments are carried out. The experimental results reveal that the proposed algorithm is a reliable and promising alternative for solving the 0-1 knapsack problem.

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Section: Introductionmentioning

confidence: 94%

A Hybrid Harmony Search Algorithm with Distribution Estimation for Solving the 0-1 Knapsack Problem

Liu

Ouyang

et al. 2022

Mathematical Problems in Engineering

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“…Li et al proposed an improved harmonic search algorithm, called the global optimal adaptive harmony search algorithm (AGOHS), which overcomes the problem of traditional HS parameter setting 34 . Mahmoudi et al adjusted the bandwidth (BW), pitch adjustment rate (PAR) and other parameters of the harmonic search algorithm through the membership function and fuzzy rules designed to improve the performance of the algorithm 35 . Loor et al proposed an adaptive improved harmony (AIHS) optimization algorithm based on two adjustment stages, which designed new dynamic BW and dynamic HMCR, and used the maximum vector and minimum vector in HM to dynamically adjust BW 36 .…”

Section: Introductionmentioning

confidence: 99%

“…HS algorithm also has good innovation in many practical applications. Mahmoudi et al used the improved harmony search algorithm to optimize the loading mode and rationally design the pressurized water reactor core fuel management, which increased the fitness function value by 15.35% and improved the economy and safety of nuclear reactors 35 . Li et al applied an improved harmony search algorithm to optimize the automatic guided vehicle (AGV) scheduling algorithm.…”

Section: Introductionmentioning

confidence: 99%

A novel intelligent global harmony search algorithm based on improved search stability strategy

Wang

Ouyang

Zhang

et al. 2023

Sci Rep

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Harmony search (HS) is a new swarm intelligent algorithm inspired by the process of music improvisation. Over the past decade, HS algorithm has been applied to many practical engineering problems. However, for some complex practical problems, there are some remaining issues such as premature convergence, low optimization accuracy and slow convergence speed. To address these issues, this paper proposes a novel intelligent global harmony search algorithm based on improved search stability strategy (NIGHS). In the search process, NIGHS uses the adaptive mean of harmony memory library to build a stable trust region around the global best harmony, and proposes a new coupling operation based on linear proportional relation, so that the algorithm can adaptively adjust the ability of exploration and exploitation in the search process and avoid premature convergence. In addition, the dynamic Gauss fine-tuning is adopted in the stable trust region to accelerate the convergence speed and improve the optimization accuracy. The common CEC2017 test functions are employed to test the proposed algorithm, the results show that NIGHS algorithm has a faster convergence speed and better optimization accuracy compared to the HS algorithm and its improved versions.

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Manufacturing of durable tribological surface by grinding process

Musavi

Adibi

Rezaei

2022

Int J Adv Manuf Technol

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Hybrid of the fuzzy logic controller with the harmony search algorithm to PWR in-core fuel management optimization

Cited by 7 publications

References 24 publications

A Hybrid Harmony Search Algorithm with Distribution Estimation for Solving the 0-1 Knapsack Problem

A Hybrid Harmony Search Algorithm with Distribution Estimation for Solving the 0-1 Knapsack Problem

A novel intelligent global harmony search algorithm based on improved search stability strategy

Manufacturing of durable tribological surface by grinding process

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