Table 1 AEFA applications and variants in engineering optimization
Author(s) [Ref.] | Year of publication | Applied methods | Application area | Major findings of the study |
|---|---|---|---|---|
Yadav et al. (2019) | 2019 | Novel AEFA | Benchmark function optimization | AEFA has established as a novel and efficient optimization algorithm |
Anita et al. (2020) | 2020 | AEFA with CSS, MOA, PSO and GSA | Stability condition checking of AEFA | AEFA works fine for stability condition checking |
Anita et al. (2019) | 2019 | AEFA compared with PSO, GA, ABC, and GSA | AEFA is tested for two bench mark problem that is six and fifteen generator power plant systems | Convergence rate is fast in case of AEFA |
Behera et al. (2022) | 2022 | AEFA + ANN | AEFA + ANN model used to predict software reliability datasets | Proposed model is best suitable for forecasting of software reliability datasets |
AL- Khraisat et al. (2021) | 2021 | AEFA | Placement of phasor measurement units using optimization algorithm | AEFA is best suitable for OPP problem |
Nayak et al. (2021) | 2021 | Elitism AEFA based Neuro-fuzzy predictor | Estimation of compressive strength of concrete cements | AEFA found effective in selecting optimal parameters of a neuro-fuzzy based predictor |
Bi et al. (2022) | 2022 | AEFA with inertia and repulsion (IRAEFA) | Spherical mining spanning tree problem | IRAEFA has better performance over basic AEFA and eight other metaheuristics |
Cheng et al. (2022) | 2022 | Log sigmoid for generation of Coulomb’s constant in AEFA | 18 benchmark function and ANN optimization problem | The improved version found effective in achieving a faster and efficient AEFA |
Izci et al. (2020) | 2020 | Nelder-Mead simplex method with AEFA | Four benchmark functions optimization | Better performance capability than basic AEFA and other comparative methods |
Houssein et a. (2021) | 2021 | AEFA with opposition-based learning, levy flight and modified local escaping operator | CEC’2020 function and parameter optimization of fuel cell | Proposed method is better than 9 well known metaheuristics. These results prove the superiority of proposed method compared to other methods in determining the unknown parameters of the PEMFC model |
Demirören et al. (2019) | 2019 | AEFA | Determining controller parameter in automatic voltage regulator system | AEFA has good potential due to its statistical data and transient response |
Selem et al. (2021) | 2021 | AEFA | Parameter extraction of three-diode photovoltaic model | AEFA achieved accurate estimation ofall undefined parameters of the triple‐diode model of a photovoltaic unit |
Alanazi and Alanazi (2022) | 2021 | AEFA pattern search method based on many-criteria optimization | Distribution networks reconfiguration | AEFAPS shown better performance compared to previous studies in solving reconfiguration problem |
Zheng et al. (2022) | 2022 | Enhanced AEFA with Sine–Cosine mechanism | Logistic distribution vehicle routing | Improve the scheduling ability and efficiency of logistics distribution vehicles |
Adegboye and Ülker (2023) | 2023 | Hybrid AEFA with Cuckoo search algorithm with refraction learning | Benchmark function optimization | Advance convergence speed and solution precision. Cuckoo search boosted the convergence and exploration of AEFA where refraction learning enhanced the exploration of basic AEFA |