of meta-heuristics have been proposed in the past. However, tuning algorithm-specific parameters for solving FFSP is … rather tricky and time consuming. To address this limitation, teaching–learning-based optimization (TLBO) and JAYA algorithm … are chosen for the study because these are not only recent meta-heuristics but they do not require tuning of algorithm …

This study proposes a modified Particle Swarm Optimization (PSO) algorithm based on Hummingbird Flight (HBF) patterns … suites is conducted to verify the effectiveness of the proposed PSO-HBF algorithm. The proposed algorithm is also evaluated … demonstrated that the PSO-HBF algorithm is superior to seven other modified algorithms, improving eight and ten functions on the …

Optimization Algorithm (IBOA). A neighborhood energy management system (NEMS) is established in the second stage based on a … consensus algorithm. A group of four smart buildings is used as a test system to evaluate the effectiveness of the suggested …) algorithm and W/O scheduling cases. With applying GWO, the total electricity cost, peak load, PAR, and waiting time are improved …

optimal algorithm for workflow scheduling poses a significant challenge due to the complexity and variability of tasks and … Whale Optimization Algorithm" (PWOA) to overcome the above-mentioned problem by combining Particle Swarm Optimization (PSO …) and Whale Optimization Algorithm (WOA). PSO's limitation in high-dimensional search spaces, characterized by slow …

Expectation maximization (EM) algorithm is a popular and powerful mathematical method for parameter estimation in case …