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 …

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

In the optimization of constrained type problems, the main difficulty is the elimination of the
constraint violations in the evolutionary search process. Evolutionary algorithms are …

A modified cuckoo search (CS) algorithm is proposed to solve economic dispatch (ED)
problems that have non-convex, non-continuous or non-linear solution spaces considering …

This article proposes the use of a leader white shark optimizer (LWSO) with the aim of
improving the exploitation of the conventional white shark optimizer (WSO) and solving the …

This paper presents the design and application of an efficient hybrid heuristic search method
to solve the practical economic dispatch problem considering many nonlinear characteristics …

In the present paper, a novel meta-heuristic algorithm, namely quasi-oppositional search-
based political optimizer (QOPO), is proposed to solve a non-convex single and bi-objective …

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

This paper proposes a novel hybrid multi-objective algorithm named Multi-objective Spotted
Hyena and Emperor Penguin Optimizer (MOSHEPO) for solving both convex and non …

Solving the non-convex economic load dispatch (ELD) problem with evolutionary algorithms
has gained increasing research in recent years. In this paper, a differential harmony search …