With the explosion of data generation, getting optimal solutions to data driven problems is
increasingly becoming a challenge, if not impossible. It is increasingly being recognised that …

Abstract Development of efficient multi-objective evolutionary algorithms (MOEAs) has
provided effective tools to solve environmental/economic dispatch (EED) problems. EED is a …

Finding a feasible solution set for optimization problems in conflict with objective functions
poses significant challenges. Moreover, in such problems, the level of complexity may …

This paper presents the application of a novel algorithm, which is based on a modified Sine-
Cosine technique for solving the optimal power flow (OPF) problem. It is a highly coupled …

The optimal power flow (OPF) is a vital tool for optimizing the control parameters of a power
system by considering the desired objective functions subject to system constraints …

Optimal power flow (OPF) is one of the most important tools in power system operation and
control, which determines the minimum operating cost and retains the control variables in …

Optimal power flow (OPF) problem is a large-scale, non-convex, multi-modal, and non-linear
constrained optimization problem, which has been widely used in power system operation …

This article applies the grey wolf optimizer and differential evolution (DE) algorithms to solve
the optimal power flow (OPF) problem. Both algorithms are used to optimize single objective …

Abstract This paper proposes Improved Colliding Bodies Optimization (ICBO) algorithm to
solve efficiently the optimal power flow (OPF) problem. Several objectives, constraints and …

The paper proposes a novel improved social spider optimization algorithm (NISSO) for
solving optimal power flow (OPF) problem to independently optimize electricity generation …