… for TEG systems under non-uniform temperature distribution (NUTD). Although centralized
… intelligence (SI)-based optimization algorithm, Equilibrium Optimization (EQO). To study the …

… This paper proposes an improved equilibrium optimizer (IEO) … distribution power networks
(RDPNs). The objective of the study is to reduce the total active power loss on all distribution …

… Therefore, this work proposes an efficient algorithm called the improved equilibrium optimizer
(IEO) algorithm to estimate the optimal parameters of the PV system. IEO was validated by …

… enhanced equilibrium optimizer (EEO), a modified version from the equilibrium optimizer (EO…
deviation, and standard error of different optimization problems. The standard 69-bus radial …

… Hence, a novel improved equilibrium optimizer is proposed in this … equilibrium optimizer,
improved equilibrium optimizer … implement a more efficient optimization with a more reasonable …

… An improved equilibrium optimizer (EO) algorithm is proposed in this paper to address
premature and slow convergence. Firstly, a highly stochastic chaotic mechanism is adopted to …

… Additionally, by providing open-source software of the Equilibrium Optimizer … optimization
problems. Moreover, categorizing and summarizing previous work on equilibrium optimizers …

… Equilibrium Optimizer (EO) is a novel optimization algorithm inspired by mass balance models
which used to estimate both equilibrium … equilibrium candidates until the equilibrium state …

… 3 Equilibrium Optimizer Algorithm: An Overview In this section, an overview of Equilibrium
Optimizer (… The Equilibrium Optimizer (EO) algorithm is the population-based nature-inspired …

… The novelty of this work lies in supposing an enhanced variant of the equilibrium optimizer
(EO), termed Levy-Opposition EO (LOEO), through combing opposition learning (OL) and …