The performance of Improved Multi-objective Mayfly Algorithm is interpreted in terms of the present Multi-objective Mayfly Algorithm and Nondominated Sorting Genetic Algorithm-II. The algorithms are applied under different operating scenarios of the IEEE 30-bus test system, 62-bus Indian utility system...
The basic steps of the Multi-objective Mayfly Algorithm (MMA) can be summarized in the pseudo code shown in Fig. 2. Show abstract An improved multi-objective bacteria colony chemotaxis algorithm and convergence analysis 2015, Applied Soft Computing Journal Citation Excerpt : Figs. 5–10 show the...
Iterative map-based self-adaptive crystal structure algorithm (SaCryStAl) Modeling of a microgrid test system Problem formulation Fuzzy logic-based selection of optimal compromise solution Uncertainty models for Wind and Solar Energy Modeling of microgrid Results and discussion Conclusion and future researc...
Zervoudakis K, Tsafarakis S (2020) A mayfly optimization algorithm. Comput Ind Eng 145:106559. https://doi.org/10.1016/j.cie.2020.106559 Article Google Scholar Fathollahi-Fard AM, Hajiaghaei-Keshteli M, Tavakkoli-Moghaddam R (2020) Red deer algorithm (RDA): a new nature-inspired meta...
D. Combined economic emission dispatch of microgrid with the incorporation of renewable energy sources using improved mayfly optimization algorithm. Comput. Intell. Neurosci. 2022, 1–22. https://doi.org/10.1155/2022/6461690 (2022). Article Google Scholar Sahri, Y. et al. Performance ...
Multi-objective energy management in a renewable and EV-integrated microgrid using an iterative map-based self-adaptive crystal structure algorithm ArticleOpen access08 July 2024 Stochastic energy management of a microgrid incorporating two-point estimation method, mobile storage, and fuzzy multi-objectiv...
Multi-objective mayfly algorithmRenewable energyStochastic power flowFor the classical multi-objective optimal power flow (MOOPF) problem, only traditional thermal power generators are used in power systems. However, there is an increasing interest in renewable energy sources and the MOOPF problem using...
multi-objective optimization problemoptimal power flowTOPSISThis paper presents an improved multi-objective mayfly algorithm (IMOMA) to resolve the optimal power flow (OPF) problem in a regulated power system network with different loading conditions. The OPF problem, considered a multi-objective ...
To advance the automation level of field observation data, enhance real-time data transmission performance, and bolster the adaptive capabilities of field observation instrument networks (FOINs), a novel method named a routing protocol based on multiobjective mayfly optimization algorithm (MMA) for ...
A multiobjective evaluation using the multiobjective mayfly algorithm (MOMA) was performed in two operational scenarios: normal and contingency conditions, using the MATLAB鈥揗ATPOWER toolbox. Fuzzy Decision-Making technique was used to determine the best compromise solutions for each Pareto front. To...