The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …

Electric power system applications are intricate optimization problems. Most literature
reviews focus on studying an electrical paradigm through different optimization techniques …

Grey wolf optimizer (GWO) is a new nature-inspired algorithm that simulates the predatory
behaviors of grey wolves in nature. The GWO mainly divides the whole hunting process into …

The unit commitment problem is one of the most significant and basic issues in the monitor,
control, and operation of modern power systems, which has always been a subject of great …

In this work, the operation of microgrids is studied, using real data for demand and
renewable energy sources. A mixed integer nonlinear program to operate the microgrid is …

Partial destructive disassembly (PDD) is a crucial tool for enhancing efficiency and reducing
disassembly costs when recycling complex end-of-life (EOL) products. Evaluating the …

Power resources scheduling and planning have a great impact on today's sustainable cities.
The conventional power plants as well as renewable energy resources should be committed …

Swarm Intelligence is applied to optimisation problems due to its robustness, scalability,
generality, and flexibility. Based on simple rules, simple reactive agents-swarm (eg fish, bird …

Nowadays, governments and electricity companies are making efforts to increase the
integration of renewable energy sources into grids and microgrids, thus reducing the carbon …

Unit commitment (UC) is one of the most crucial problems in electrical power systems. It
concerns finding the optimal schedule for generating units such that the production cost is …