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...
In section “Iterative map-based self-adaptive crystal structure algorithm (SaCryStAl)”, we delve into the implementation of the proposed Iterative map-based Self-Adaptive Crystal Structure Algorithm (SaCryStAl) to address the multi-objective energy management problem. Section “Modeling of a microgri...
Bonobo Optimizer (BO) is an intelligent and adaptive metaheuristic optimization algorithm inspired from the social behavior and reproductive strategies of bonobos. There is no study in the literature to extend this BO to solve multi-objective optimization problems. This paper presents a Multi-objective...
This study proposes an innovative energy management strategy (EMS) using an Iterative map-based self-adaptive crystal structure algorithm (SaCryStAl) specifically designed for microgrids with renewable energy sources (RESs) and PHEVs. The goal is to optimize multi-objective scheduling for a microgrid...
Section ‘Proposed chaotic self-adaptive sine–cosine algorithm” covers the implementation of the proposed Chaotic Self-Adaptive Sine Cosine Algorithm to address the multi-objective energy management problem. Section “Microgrid modelling” is dedicated to modeling the considered microgrid test system. ...
[31], and Firefly Algorithm (FA) [11]. Due to their simple structure, they may need better convergence accuracy when dealing with complex optimization problems. With the deepening of scientific research, a large number of new swarm intelligence algorithms have emerged, including Harris Hawks ...
Similarly, another study (Almazyad et al., 2023) proposed an effective malicious traffic detection approach using the Grey-wolf Optimizer and a machine learning algorithm. They used a Light Gradient Boosting Machine classifier for ‘Probe’ attack detection in SDN. The InSDN dataset was utilized ...
Beluga Whale Optimization (BWO) is a new metaheuristic algorithm that simulates the social behaviors of beluga whales swimming, foraging, and whale falling. Compared with other optimization algorithms, BWO shows certain advantages in solving unimodal and
The dwarf mongoose optimization (DMO) algorithm developed in 2022 was applied to solve continuous mechanical engineering design problems with a considerable balance of the exploration and exploitation phases as a metaheuristic approach. Still, the DMO is