Artificial ecosystem optimization by means of fitness distance balance model for engineering design optimization

A Mahdy, A Shaheen, R El-Sehiemy… - The Journal of …, 2023 - Springer
Optimization techniques have contributed to significant strides in complex real-world
engineering problems. However, they must overcome several difficulties, such as the …

[引用][C] An efficient adaptive system identification technique based on wind driven optimization method

R Sinha, A Choubey, SK Mahto - Indian Journal of Science and Technology, 2016

Interactive artificial ecosystem algorithm for solving power management optimizations

B Mahdad, K Srairi - 2022 - repository.kpi.kharkov.ua
Анотація Introduction. Power planning and management of practical power systems
considering the integration and coordination of various FACTS devices is a vital research …

Identification of linear dynamic systems using the artificial bee colony algorithm

Ö Ercin, R Coban - Turkish Journal of Electrical Engineering …, 2012 - journals.tubitak.gov.tr
This paper presents an investigation into the development of system identification using the
artificial bee colony (ABC) algorithm. A system identification task can be formulated as an …

[图书][B] Dynamic System Identification Using Adaptive Algorithm

SS Roy - 2017 - researchgate.net
Over the latest few years the part of System Identification has drawn interest of numerous
researchers due to its wide applicability to different fields. Adaptive direct modeling or …

Fitness-distance balance based artificial ecosystem optimisation to solve transient stability constrained optimal power flow problem

Y Sonmez, S Duman, HT Kahraman… - … of Experimental & …, 2024 - Taylor & Francis
ABSTRACT The Transient Stability Constrained Optimal Power Flow (TSCOPF) has become
an important tool for power systems today. TSCOPF is a nonlinear optimisation problem …

Simultaneous computation of model order and parameter estimation of a heating system based on gravitational search algorithm for autoregressive with exogenous …

KZ Mohd Azmi, Z Ibrahim, D Pebrianti… - ARPN Journal of …, 2015 - shdl.mmu.edu.my
System identification is a class of control system engineering that determines physical
functionality of a plant and represents them in the form of mathematical expression by …

Gravitational search algorithm for non-linear system identification using ANFIS-Hammerstein approach

E Cuevas, J Gálvez, O Avalos, E Cuevas… - … Algorithms for Parameter …, 2020 - Springer
The nature of real problems in engineering tends to non-linearity, so that, their identification
must be solved using similar approaches what represents a high challenge. The …

A comprehensive review and application of metaheuristics in solving the optimal parameter identification problems

H Rezk, AG Olabi, T Wilberforce, ET Sayed - Sustainability, 2023 - mdpi.com
For many electrical systems, such as renewable energy sources, their internal parameters
are exposed to degradation due to the operating conditions. Since the model's accuracy is …

Techno-economic evaluation of hybrid energy systems using artificial ecosystem-based optimization with demand side management

HO Omotoso, AM Al-Shaalan, HMH Farh… - Electronics, 2022 - mdpi.com
Electrification of remote rural areas by adopting renewable energy technologies through the
advancement of smart micro-grids is indispensable for the achievement of continuous …