Evaluation of fuzzy based HS and GSA on reloading cycle length optimization of PWR nuclear power plant

Mahmoudi, S.M.; Aghaie, M.

doi:10.1016/j.anucene.2019.05.058

Cited by 18 publications

(7 citation statements)

References 30 publications

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“…In work done by Mahmoudi and Aghaie [88], the gravitational constant in the GSA as well as the BW and PAR parameters in the HS algorithm were adjusted to increase the degree of convergence and obtain better results using a FLC. To demonstrate the FLC performance, the fuzzy gravitational search algorithm and FHS were compared with standard GSA and HS in the drop-wave function problem.…”

Section: Fuzzy Harmony Search Algorithmmentioning

confidence: 99%

“…Problems/Applications Reference SHS Optimization of a benchmark set of functions [58] Image thresholding method [59] Buffer allocation problems [60] Multi-objective optimization in the drilling of CFRP (polyester) composites [63] Machining system [64] Benchmarks problems [65] High-order FTS forecasting model [68] LFC [70] Short-term wind power forecasting [71] Optimization of PWR nuclear power plant [88] Optimization of mathematical functions [89] Optimization problems [74] Benchmark mathematical functions [91] Design of a fuzzy PID controller for load frequency control [97] The design of FPSS [100] Fuzzy controller [101] Improving the electronic throttle valve [104] Design of fuzzy power system stabilizer [106] Type-2 FL controllers [108] Optimization problems [107] Temperature control of air heater system [110] Optimization of the ball and beam controller [113] Benchmark control problems [72] Benchmark control problems [73] Load frequency control [118] Fuzzy c-means segmentation of MR images [50] Simultaneous determination of aquifer parameters and zone structures [124] Congestion management problem in an electricity market [45] OPF [48] Optimization problems [49] Image segmentation [145] Placement of dg units in electrical distribution systems [51] Simultaneous reconfiguration and capacitor placement [52] Multi-objective optimization of water distribution networks [53] Unit commitment problem [54] Optimization of a benchmark set of functions…”

Section: Variants Of Hs Algorithmmentioning

confidence: 99%

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Harmony Search Algorithm and Fuzzy Logic Theory: An Extensive Review from Theory to Applications

et al. 2021

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In recent years, many researchers have utilized metaheuristic optimization algorithms along with fuzzy logic theory in their studies for various purposes. The harmony search (HS) algorithm is one of the metaheuristic optimization algorithms that is widely employed in different studies along with fuzzy logic (FL) theory. FL theory is a mathematical approach to expressing uncertainty by applying the conceptualization of fuzziness in a system. This review paper presents an extensive review of published papers based on the combination of HS and FL systems. In this regard, the functional characteristics of models obtained from integration of FL and HS have been reported in various articles, and the performance of each study is investigated. The basic concept of the FL approach and its derived models are introduced to familiarize readers with the principal mechanisms of FL models. Moreover, appropriate descriptions of the primary classifications acquired from the coexistence of FL and HS methods for specific purposes are reviewed. The results show that the high efficiency of HS to improve the exploration of FL in achieving the optimal solution on the one hand, and the capability of fuzzy inference systems to provide more flexible and dynamic adaptation of the HS parameters based on human perception on the other hand, can be a powerful combination for solving optimization problems. This review paper is believed to be a useful resource for students, engineers, and professionals.

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Section: Fuzzy Harmony Search Algorithmmentioning

confidence: 99%

Section: Variants Of Hs Algorithmmentioning

confidence: 99%

Harmony Search Algorithm and Fuzzy Logic Theory: An Extensive Review from Theory to Applications

et al. 2021

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“…Inspired by these ideologies, many improved algorithms have been proposed, such as hybrid harmony search algorithm with grey wolf optimizer (GWO-HS) [29], coevolutionary particle swarm optimization with bottleneck objective learning strategy (CPSO) [30], fuzzy gravitational search algorithm (FGSA) [31] and differential evolution algorithm with strategy adaptation and knowledge-based control parameters (SAKPDE) [32].…”

Section: Introductionmentioning

confidence: 99%

A Novel Hybrid Hunger Games Search Algorithm With Differential Evolution for Improving the Behaviors of Non-Cooperative Animals

Chen

et al. 2021

IEEE Access

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Inspired by the behaviors of animals in the state of starvation, hunger games search algorithm (HGS) is proposed. HGS has shown competitive performance among other meta-heuristic (MH) algorithms. However, HGS tends to stagnate in local optimal for some complex optimization problems and remains premature convergence. Therefore, to solve these problems and enhance the diversity of the population, a modified HGS based on the operators of the differential evolution algorithm (DE), chaotic local search (CLS) strategies, and evolutionary population dynamics technique (EPD) is proposed (named DECEHGS). The proposed DECEHGS algorithm consists of two stages: in the first stage, based on the animals' behaviors, we use different evolutionary methods to update animals' positions; in the second stage, the CLS strategy and EPD technique are combined to prevent premature convergence and stagnation in a local optimum. The proposed algorithm was evaluated using IEEE CEC2014 and IEEE CEC2017 mathematical functions and four engineering problems. The experimental results demonstrate that DECEHGS has competitive performance in global optimization tasks and engineering problems compared with state-ofthe-art algorithms.

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“…et al (2016) have presented 3D in-core fuel management optimization for breed-and-burn reactors using the simulated annealing algorithm. Mahmoudi and Aghaie (2019) have used Gravitational Search Algorithm. Meneses and Schirru (2015) have applied a cross-entropy method to the in-core fuel management of a PWR.…”

Section: Introductionmentioning

confidence: 99%

“…Some of the most recently used objectives are as follows. Mahmoudi and Aghaie (2019) have used burn-up cycle length, K eff and PPF. Lin et al (2017) have used particle swarm algorithm to search for a power ascension path of boiling water reactors.…”

Section: Introductionmentioning

confidence: 99%

Small modular reactor full scope core optimization using Cuckoo Optimization Algorithm

Akbari

Ochbelagh

Gharib

et al. 2020

Progress in Nuclear Energy

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Evaluation of fuzzy based HS and GSA on reloading cycle length optimization of PWR nuclear power plant

Cited by 18 publications

References 30 publications

Harmony Search Algorithm and Fuzzy Logic Theory: An Extensive Review from Theory to Applications

Harmony Search Algorithm and Fuzzy Logic Theory: An Extensive Review from Theory to Applications

A Novel Hybrid Hunger Games Search Algorithm With Differential Evolution for Improving the Behaviors of Non-Cooperative Animals

Small modular reactor full scope core optimization using Cuckoo Optimization Algorithm

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