[HTML][HTML] Review of economic dispatch in multi-area power system: State-of-the-art and future prospective

AB Kunya, AS Abubakar, SS Yusuf - Electric Power Systems Research, 2023 - Elsevier
Efficient and cost-effective coordination of online generation facilities is essential to the
reliable operation multi-area power system (PS) especially in a deregulated environment …

Solution of an economic dispatch problem through particle swarm optimization: a detailed survey-part I

G Abbas, J Gu, U Farooq, MU Asad… - IEEE Access, 2017 - ieeexplore.ieee.org
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 …

[HTML][HTML] Grey wolf optimization applied to economic load dispatch problems

M Pradhan, PK Roy, T Pal - International Journal of Electrical Power & …, 2016 - Elsevier
This article presents a new evolutionary optimization approach named grey wolf
optimization (GWO), which is based on the behaviour of grey wolves, for the optimal …

[HTML][HTML] A modified crow search algorithm (MCSA) for solving economic load dispatch problem

F Mohammadi, H Abdi - Applied Soft Computing, 2018 - Elsevier
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 …

Modified cuckoo search algorithm to solve economic power dispatch optimization problems

J Zhao, S Liu, M Zhou, X Guo… - IEEE/CAA journal of …, 2018 - ieeexplore.ieee.org
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 …

[HTML][HTML] A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO)

M Ghasemi, IF Davoudkhani, E Akbari… - … Applications of Artificial …, 2020 - Elsevier
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 …

Review and classification of bio-inspired algorithms and their applications

X Fan, W Sayers, S Zhang, Z Han, L Ren… - Journal of Bionic …, 2020 - Springer
Scientists have long looked to nature and biology in order to understand and model
solutions for complex real-world problems. The study of bionics bridges the functions …

[HTML][HTML] Backtracking search algorithm for solving economic dispatch problems with valve-point effects and multiple fuel options

M Modiri-Delshad, SHA Kaboli, E Taslimi-Renani… - Energy, 2016 - Elsevier
This paper presents backtracking search algorithm (BSA) for solving economic dispatch
(ED) problems with considering valve-point loading effects, prohibited operating zones, and …

[HTML][HTML] Ameliorated grey wolf optimization for economic load dispatch problem

D Singh, JS Dhillon - Energy, 2019 - Elsevier
Owing to no free lunch theorem, meta-heuristic search algorithms, behaviour and
performance are different for solving specific class of optimization problems than another …

Optimization of artificial intelligence system by evolutionary algorithm for prediction of axial capacity of rectangular concrete filled steel tubes under compression

HQ Nguyen, HB Ly, VQ Tran, TA Nguyen, TT Le… - Materials, 2020 - mdpi.com
Concrete filled steel tubes (CFSTs) show advantageous applications in the field of
construction, especially for a high axial load capacity. The challenge in using such structure …