[HTML][HTML] Review of bio-inspired optimization applications in renewable-powered smart grids: Emerging population-based metaheuristics
The management of renewable-powered smart grids deals with nonlinear optimization
problems featuring a variety of linear or nonlinear constraints, discrete or continuous …
problems featuring a variety of linear or nonlinear constraints, discrete or continuous …
[HTML][HTML] Multi-region combined heat and power economic dispatch based on modified group teaching optimization algorithm
Multi-region combined heat and power economic dispatch (MRCHPED) is a brand new
optimization issue in power system operation. The MRCHPED uses the multiple regional …
optimization issue in power system operation. The MRCHPED uses the multiple regional …
Mtv-mfo: Multi-trial vector-based moth-flame optimization algorithm
The moth-flame optimization (MFO) algorithm is an effective nature-inspired algorithm based
on the chemical effect of light on moths as an animal with bilateral symmetry. Although it is …
on the chemical effect of light on moths as an animal with bilateral symmetry. Although it is …
Economic load dispatch problem based on search and rescue optimization algorithm
The Search and Rescue optimization algorithm (SAR) is a recent metaheuristic inspired by
the exploration's behaviour for humans throughout search and rescue processes. The SAR …
the exploration's behaviour for humans throughout search and rescue processes. The SAR …
Demand-side-management-based bi-level intelligent optimal approach for cost-centric energy management of a microgrid system
Demand side management (DSM) separates elastic and inelastic loads and reorganizes a
distribution system's load demand model while reducing the overall cost of the operation …
distribution system's load demand model while reducing the overall cost of the operation …
Reinforcement-learning-based multi-objective differential evolution algorithm for large-scale combined heat and power economic emission dispatch
As social and environmental issues become increasingly serious, both fuel costs and
environmental impacts should be considered in the cogeneration process. In recent years …
environmental impacts should be considered in the cogeneration process. In recent years …
Recent advances of whale optimization algorithm, its versions and applications
Swarm intelligence (SI) is an approach inspired by natural phenomena that have been
implemented in the optimization field. This field has rapidly increased very fast recently. The …
implemented in the optimization field. This field has rapidly increased very fast recently. The …
Grid-connected multi-microgrid system operational scheduling optimization: A hierarchical improved marine predators algorithm
This study deals with grid-connected multi-microgrid system (MMGS) operation scheduling
optimization problem using improved marine predators algorithm. Studies are lacking a …
optimization problem using improved marine predators algorithm. Studies are lacking a …
Collective information-based particle swarm optimization for multi-fuel CHP economic dispatch problem
Multi-fuel combined heat and power economic dispatch (MF-CHPED) is a highly non-convex
and challenging optimization problem in power system operation. The traditional particle …
and challenging optimization problem in power system operation. The traditional particle …
Energy cost optimization in distribution network considering hybrid electric vehicle and photovoltaic using modified whale optimization algorithm
The economic emission dispatch problem is one of the most crucial problems for the future
smart power network. The integration of renewable energy resources and the use of electric …
smart power network. The integration of renewable energy resources and the use of electric …