Walrus optimizer: A novel nature-inspired metaheuristic algorithm

Expert Systems with Applications, Год журнала: 2023, Номер 239, С. 122413 - 122413

Опубликована: Ноя. 3, 2023

Язык: Английский

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Golf Optimization Algorithm: A New Game-Based Metaheuristic Algorithm and Its Application to Energy Commitment Problem Considering Resilience

Biomimetics, Год журнала: 2023, Номер 8(5), С. 386 - 386

Опубликована: Авг. 24, 2023

In this research article, we uphold the principles of No Free Lunch theorem and employ it as a driving force to introduce an innovative game-based metaheuristic technique named Golf Optimization Algorithm (GOA). The GOA is meticulously structured with two distinctive phases, namely, exploration exploitation, drawing inspiration from strategic dynamics player conduct observed in sport golf. Through comprehensive assessments encompassing fifty-two objective functions four real-world engineering applications, efficacy rigorously examined. results optimization process reveal GOA’s exceptional proficiency both exploitation strategies, effectively striking harmonious equilibrium between two. Comparative analyses against ten competing algorithms demonstrate clear statistically significant superiority across spectrum performance metrics. Furthermore, successful application intricate energy commitment problem, considering network resilience, underscores its prowess addressing complex challenges. For convenience community, provide MATLAB implementation codes for proposed methodology, ensuring accessibility facilitating further exploration.

Язык: Английский

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Attack-defense strategy assisted osprey optimization algorithm for PEMFC parameters identification

Renewable Energy, Год журнала: 2024, Номер 225, С. 120211 - 120211

Опубликована: Фев. 23, 2024

Язык: Английский

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Optimizing PV Sources and Shunt Capacitors for Energy Efficiency Improvement in Distribution Systems Using Subtraction-Average Algorithm

Mathematics, Год журнала: 2024, Номер 12(5), С. 625 - 625

Опубликована: Фев. 20, 2024

This work presents an optimal methodology based on augmented, improved, subtraction-average-based technique (ASABT) which is developed to minimize the energy-dissipated losses that occur during electrical power supply. It includes a way of collaborative learning utilizes most effective response with goal improving ability search. Two different scenarios are investigated. First, suggested ASABT used considering shunt capacitors only losses. Second, simultaneous placement and sizing both PV units handled. Applications ASAB performed two distribution systems. practical Egyptian system considered. The results simulation show has significant 56.4% decrease in over original scenario using only. By incorporating addition capacitors, energy reduced from 26,227.31 10,554 kW/day high reduction 59.75% 4.26% compared initial case SABT alone, respectively. Also, emissions produced substation greatly 110,823.88 kgCO2 79,189 kgCO2, 28.54% case. standard IEEE 69-node added application. Comparable indicate significantly reduces (5.61%) as enhances minimum voltage (2.38%) substantial (64.07%) For investigated systems, proposed outcomes Coati optimization algorithm, Osprey algorithm (OOA), dragonfly (DA), methods; shows superior outcomes, especially deviation obtained

Язык: Английский

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Botox Optimization Algorithm: A New Human-Based Metaheuristic Algorithm for Solving Optimization Problems

Biomimetics, Год журнала: 2024, Номер 9(3), С. 137 - 137

Опубликована: Фев. 23, 2024

This paper introduces the Botox Optimization Algorithm (BOA), a novel metaheuristic inspired by operation mechanism. The algorithm is designed to address optimization problems, utilizing human-based approach. Taking cues from procedures, where defects are targeted and treated enhance beauty, BOA formulated mathematically modeled. Evaluation on CEC 2017 test suite showcases BOA’s ability balance exploration exploitation, delivering competitive solutions. Comparative analysis against twelve well-known algorithms demonstrates superior performance across various benchmark functions, with statistically significant advantages. Moreover, application constrained problems 2011 highlights effectiveness in real-world tasks.

Язык: Английский

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Osprey Gannet optimization enabled CNN based Transfer learning for optic disc detection and cardiovascular risk prediction using retinal fundus images

Biomedical Signal Processing and Control, Год журнала: 2024, Номер 93, С. 106177 - 106177

Опубликована: Март 12, 2024

Язык: Английский

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Puma Algorithm for Environmental Emissions and Generation Costs Minimization Dispatch in Power Systems

Scientific African, Год журнала: 2025, Номер unknown, С. e02547 - e02547

Опубликована: Янв. 1, 2025

Язык: Английский

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Performance of Osprey Optimization Algorithm for Solving Economic Load Dispatch Problem

Mathematics, Год журнала: 2023, Номер 11(19), С. 4107 - 4107

Опубликована: Сен. 28, 2023

The osprey optimization algorithm (OOA) is a new metaheuristic motivated by the strategy of hunting fish in seas. In this study, OOA applied to solve one main items power system called economic load dispatch (ELD). ELD has two types. first type takes into consideration minimization cost fuel consumption, ELD. second consumption and emission, combined emission (CEED). performance compared against several techniques evaluate its reliability. These methods include elephant herding (EHO), rime-ice (RIME), tunicate swarm (TSA), slime mould (SMA) for same case study. Also, with other literature, such as an artificial bee colony (ABO), sine cosine (SCA), moth search (MSA), chimp (ChOA), monarch butterfly (MBO). Power mismatch item used evaluation all these methods. There are six cases work: 6 units problem at three different loads, CEED loads. Evaluation was performed 30 various runs based on measuring standard deviation, minimum fitness function, maximum mean values. superiority achieved according obtained results competitor algorithms.

Язык: Английский

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Drawer Algorithm: A New Metaheuristic Approach for Solving Optimization Problems in Engineering

Biomimetics, Год журнала: 2023, Номер 8(2), С. 239 - 239

Опубликована: Июнь 6, 2023

Metaheuristic optimization algorithms play an essential role in optimizing problems. In this article, a new metaheuristic approach called the drawer algorithm (DA) is developed to provide quasi-optimal solutions The main inspiration for DA simulate selection of objects from different drawers create optimal combination. process involves dresser with given number drawers, where similar items are placed each drawer. based on selecting suitable items, discarding unsuitable ones and assembling them into appropriate described, its mathematical modeling presented. performance tested by solving fifty-two objective functions various unimodal multimodal types CEC 2017 test suite. results compared twelve well-known algorithms. simulation demonstrate that DA, proper balance between exploration exploitation, produces solutions. Furthermore, comparing shows effective problems much more competitive than against which it was to. Additionally, implementation twenty-two constrained 2011 suite demonstrates high efficiency handling real-world applications.

Язык: Английский

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OOBO: A New Metaheuristic Algorithm for Solving Optimization Problems

Biomimetics, Год журнала: 2023, Номер 8(6), С. 468 - 468

Опубликована: Окт. 1, 2023

This study proposes the One-to-One-Based Optimizer (OOBO), a new optimization technique for solving problems in various scientific areas. The key idea designing suggested OOBO is to effectively use knowledge of all members process updating algorithm population while preventing from relying on specific population. We one-to-one correspondence between two sets and selected as guides increase involvement update process. Each member chosen just once guide only utilized another this interaction. proposed OOBO's performance evaluated with fifty-two objective functions, encompassing unimodal, high-dimensional multimodal, fixed-dimensional multimodal types, CEC 2017 test suite. results highlight remarkable capacity strike balance exploration exploitation within problem-solving space during search quality achieved using by comparing them eight well-known algorithms. simulation findings show that outperforms other algorithms addressing can give more acceptable quasi-optimal solutions. Also, implementation six engineering shows effectiveness approach real-world applications.

Язык: Английский

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