Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms
in the literature. Although the original PSO has shown good optimization performance, it still …

Abstract Economic Load Dispatch (ELD) is an imperative assignment in contemporary
aggressive power demand market. Dearth of power generation in all dimensions of energy …

Differential evolution (DE) is one of the most popular and efficient evolutionary algorithms for
numerical optimization and it has gained much success in a series of academic benchmark …

Differential evolution (DE) is among the most efficient evolutionary algorithms (EAs) for
global optimization and now widely applied to solve diverse real-world applications. As the …

This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with
adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an …

In this study we present a new and effective grouping optimization algorithm (namely, the
Turbulent Flow of Water-based Optimization (TFWO)), inspired from a nature search …

Although a large number of metaheuristic algorithms and their variants have been proposed
for many engineering optimization problems, no paradigms hybridized by differential …

Although particle swarm optimization algorithm (PSO) has displayed promising performance
on many optimization problems, how to balance contradictions between the exploration and …

Economic load dispatch (ELD) is an important topic in the operation of power plants which
can help to build up effective generating management plans. The practical ELD problem has …

This paper proposes a parallel hurricane optimization algorithm (PHOA) for solving
economic emission load dispatch (EELD) problem in modern power systems. In PHOA …