A number of modern metaheuristic optimization techniques are being exploited to work out a
single-objective economic dispatch (ED) problem. The dispatch problems even become …

This paper presents a novel evolutionary optimization algorithm namely the modified crow
search algorithm (MCSA) for solving the non-convex economic load dispatch (ELD) problem …

This study protracts the multi-objective dynamic economic emission dispatch (DEED)
problem by integrating wind power output of wind turbines. DEED simultaneously minimizes …

The dynamic economic dispatch problem is a high-dimensional complex constrained
optimization problem that determines the optimal generation from a number of generating …

This paper presents a new optimization algorithm, named modified teaching-learning
algorithm, to solve a more practical formulation of the reserve constrained dynamic …

This paper presents a novel teaching learning based optimization (TLBO) technique to solve
economic load dispatch (ELD) of the thermal unit without considering transmission losses …

This paper proposes a novel particle swarm optimization (PSO) algorithm with population
reduction, which is called modified new self-organizing hierarchical PSO with jumping time …

This paper presents a-multiobjective-teaching-learning-based optimization algorithm to
solve the dynamic economic emission dispatch problem. Teaching-learning-based …

Dynamic economic dispatch (DED) aims to schedule the committed generating units' output
active power economically over a certain period of time, satisfying operating constraints and …

Renewable energy resources such as wind power plants are playing an ever-increasing
role in power generation. This paper extends the dynamic economic emission dispatch …