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- W4384339750 abstract "Abstract This paper presents a hybridized version of the Salp Swarm Algorithm (SSA) for Economic Load Dispatch (ELD) problems with severe constraints. The Adaptive β -hill climbing optimizer (ABHCO) and a recently evolved local search method is hybridized with SSA as a novel operator. This hybridization scheme is known as a memetic algorithm where the SSA serves as a natural selection agent (general refinement) in a genotype environment, while ABHCO serves as a culture selection agent (local refinement) in the phenotype environment. In other words, The SSA is served as a gene notation in biology while A β HCO serves as a meme in a cultural context. In an intelligent optimization environment, gene and meme notations from natural biology and cultural selection act as search agents to achieve generality (gene) and problem specificity (meme). ELD is a crucial optimization problem in electrical engineering that is non-convex, multi-modal, and severely constrained. The proposed method, which is named MSSA, is evaluated against several types of ELD problems that vary in terms of the constraints considered. The first problem is tackled by considering two types of constraints related to load balance and output. It includes five real-world ELD generator cases that vary in number of units and load demands: 3-unit generator with 850 MW (3UG-850MW), 13-unit generator with 1800 MW (13UG-1800MW), 13-unit generator with 2520 MW (13UG-2520MW), 40-unit generator with 10500 MW (40UG-10500MW), and large scaled 80-unit generator with 21000 MW (80UG-21000MW). Two additional constraints-Prohibited Operating Zones and Ramp Rate Limits-are used to address the second problem. A 6-unit generator with 1263 MW (6UG-1263MW) and a 15-unit generator with 2630 MW (40UG-2630MW) are the two real-world cases that are discussed. In comparison to other current algorithms, the comparative findings showed the feasibility and usefulness of the proposed MSSA." @default.
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- W4384339750 date "2023-07-14" @default.
- W4384339750 modified "2023-09-30" @default.
- W4384339750 title "Memetic Salp Swarm Algorithm for Economic Load Dispatch Problems" @default.
- W4384339750 doi "https://doi.org/10.21203/rs.3.rs-3153469/v1" @default.
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