Ladybug Beetle Optimization algorithm: application for real-world problems

Abstract

In this paper, a novel optimization algorithm is proposed, called the Ladybug Beetle Optimization (LBO) algorithm, which is inspired by the behavior of ladybugs in nature when they search for a warm place in winter. The new proposed algorithm consists of three main parts: (1) determine the heat value in the position of each ladybug, (2) update the position of ladybugs, and (3) ignore the annihilated ladybug(s). The main innovations of LBO are related to both updating the position of the population, which is done in two separate ways, and ignoring the worst members, which leads to an increase in the search speed. Also, LBO algorithm is performed to optimize 78 well-known benchmark functions. The proposed algorithm has reached the optimal values of 73.3% of the benchmark functions and is the only algorithm that achieved the best solution of 20.5% of them. These results prove that LBO is substantially the best algorithm among other well-known optimization methods. In addition, two fundamentally different real-world optimization problems include the Economic-Environmental Dispatch Problem (EEDP) as an engineering problem and the Covid-19 pandemic modeling problem as an estimation and forecasting problem. The EEDP results illustrate that the proposed algorithm has obtained the best values in either the cost of production or the emission or even both, and the use of LBO for Covid-19 pandemic modeling problem leads to the least error compared to others.

Energy‐aware power allocation using Ladybug Beetle Honey Badger Optimization in multiple‐input multiple‐output‐non‐orthogonal multiple access with multiple users

“…After that, the multiple‐user signal is grouped as a single signal by FLICM 27 . Then, LBHBO is employed for PA. LBHBO is the integration of LBO 28 and HBA 29 . After that, the signal is transferred to the channel estimation module via the transmitter, where the channel is estimated and acts as a significant function in the communication receiver.…”

“…Energy‐aware PA is carried out by LBHBO, which is formed by combining LBO 28 and HBA 29 . LBO is inspired by ladybugs' behavior as they search for a warm area in winter.…”

“…Hence, population members are trapped in local minimum escape because of the big coefficient of the third movement. 28 The new position of a th ladybug is taken from Equations ( 18) and (19).…”

A novel finite spectral entropy: Gated term memory unit recursive network integrated with Ladybug Beetle Optimization algorithm for epileptic seizure detection

“…During classification, the logistic sigmoid function is optimally computed with the use of LBO algorithm 35 . The core reason of using this algorithm is to simplify the process of classification with an improved accuracy.…”

“…Here, the logistic sigmoid computation is performed with the use of LBO algorithm among other optimization approaches, the primary advantages of using this algorithm are increased convergence rate, low processing time, high speed, and efficiency. The activity of ladybirds in nature as they look for a warm area to spend the winter is what inspired the LBO algorithm 35 . The major innovations of LBO are connected to both updating the position of the population that has been done in two independent ways, and disregarding the worst individuals, that results in a rise in the searching speed.…”