Today, finding a viable solution for any real world problem focusing on combinatorial of
problems is a crucial task. However, using optimisation techniques, a viable best solution for …

The metaheuristic algorithm is a very important area of research that continuously improves
in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm …

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 paper, the economic load dispatch (ELD) problem which is an important problem in
electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of …

In this paper, the economic load dispatch (ELD) problem with valve point effect is tackled
using a hybridization between salp swarm algorithm (SSA) as a population-based algorithm …

Economic load dispatch (ELD) is a crucial problem in the power system which is tackled by
distributing the required generation power through a set of units to minimize the fuel cost …

Abstract An Enhanced Chameleon Swarm Algorithm (ECSA) by integrating roulette wheel
selection and Lé vy flight methods is presented to solve non-convex Economic Load …

Utilizing dynamic resource allocation for load balancing is considered as an important
optimization process in cloud computing. In order to achieve maximum resource efficiency …

Utilizing dynamic resource allocation for load balancing is considered as an important
optimization process of task scheduling in cloud computing. A poor scheduling policy may …

The economic load dispatch (ELD) is a crucial problem in electrical power system domain. It
is tackled by managing the outputs of predefined generation units in accordance with …