Combined heat and power economic dispatch (CHPED) aims to minimize the operational
cost of heat and power units satisfying several equality and inequality operational and …

Optimization problems of modern day power system are very challenging to resolve
because of its design complexity, wide geographical dispersion and influence from many …

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 …

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 paper presents backtracking search algorithm (BSA) for solving economic dispatch
(ED) problems with considering valve-point loading effects, prohibited operating zones, and …

In power system operation, the combined heat and power economic dispatch (CHPED) is an
attractive and momentous optimization problem where the major objective is to find an …

The economic load dispatch (ELD) problems considering nonlinear characteristics such as
valve point effects (VPE), multiple fuels (MF), transmission network losses, ramp rate limits …

Structured population in evolutionary algorithms is a vital strategy to control diversity during
the search. One of the most popular structured population strategies is the island model in …

This paper proposes a hybrid algorithm that combines two prominent nature-inspired meta-
heuristic strategies to solve the combined heat and power (CHP) economic dispatch. In this …

A hybrid artificial algae algorithm (HAAA) has been proposed in this paper that hybridizes
the artificial algae algorithm (AAA) and simplex search method (SSM) to solve economic …