Gbest-guided Artificial Chemical Reaction Algorithm for global numerical optimization

Shida, Yang; Ya-lin, Yi; Shan, Zhiyong

doi:10.1016/j.proeng.2011.11.2626

Cited by 10 publications

(1 citation statement)

References 6 publications

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“…This enhancement involves adding two additional steps to the original ECPO algorithm: "ionization" and "electron exchange". Both steps are inspired by chemical phenomena, specifically mimicking chemical reactions, as observed in previous research [51][52][53].…”

Section: Optimization Algorithmmentioning

confidence: 99%

Optimization of Non-Uniform Onshore Wind Farm Layout Using Modified Electric Charged Particles Optimization Algorithm Considering Different Terrain Characteristics

Hidayat,

Ramli,

Alqahtani

2024

Sustainability

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Designing an onshore wind farm layout poses several challenges, including the effects of terrain and landscape characteristics. An accurate model should be developed to obtain the optimal wind farm layout. This study introduces a novel metaheuristic algorithm called Modified Electric Charged Particles Optimization (MECPO) to maximize wind farms’ annual energy production (AEP) by considering the different terrain and landscape characteristics of the sites. Some non-uniform scenarios are applied to the optimization process to find the best combination of decision variables in the wind farm design. The study was initiated by a uniform wind farm layout optimization employing identical wind turbine hub heights and diameters. Following this, these parameters underwent further optimization based on some non-uniform scenarios, with the optimal layout from the initial uniform wind farm serving as the reference design. Three real onshore sites located in South Sulawesi, Indonesia, were selected to validate the performance of the proposed algorithm. The wind characteristics for each site were derived from WAsP CFD, accounting for the terrain and landscape effects. The results show that the non-uniform wind farm performs better than its uniform counterpart only when using varying hub heights. Considering the impacts of the terrain and landscape characteristics, it is observed that sites with a higher elevation, slope index, and roughness length exhibit a lower wake effect than those with lower ones. Moreover, the proposed algorithm, MECPO, consistently outperforms other algorithms, achieving the highest AEP across all simulations, with a 100% success rate in all eight instances. These results underscore the algorithm’s robustness and effectiveness in optimizing wind farm layouts, offering a promising avenue for advancing sustainable wind energy practices.

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Section: Optimization Algorithmmentioning

confidence: 99%

Optimization of Non-Uniform Onshore Wind Farm Layout Using Modified Electric Charged Particles Optimization Algorithm Considering Different Terrain Characteristics

Hidayat,

Ramli,

Alqahtani

2024

Sustainability

View full text Add to dashboard Cite

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Conclusions and Emerging Topics

Marwala

Lagazio

2011

Advanced Information and Knowledge Processing

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Emerging Chemistry-based CI Algorithms

Xing

Gao²

2013

Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms

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In this chapter, a set of emerging chemistry-based computational intelligence (CI) algorithms are introduced. We first, in Sect. 26.1, describe the organizational structure of this chapter. Then, from Sect. 26.2 to Sect. 26.5, each section is dedicated to a specific algorithm which falls within this category. The fundamentals of each algorithm and their corresponding performances compared with other CI algorithms can be found in each associated section. Finally, the conclusions drawn in Sect. 26.6 closes this chapter.

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Gbest-guided Artificial Chemical Reaction Algorithm for global numerical optimization

Cited by 10 publications

References 6 publications

Optimization of Non-Uniform Onshore Wind Farm Layout Using Modified Electric Charged Particles Optimization Algorithm Considering Different Terrain Characteristics

Optimization of Non-Uniform Onshore Wind Farm Layout Using Modified Electric Charged Particles Optimization Algorithm Considering Different Terrain Characteristics

Conclusions and Emerging Topics

Emerging Chemistry-based CI Algorithms

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