Related references
Note: Only part of the references are listed.
Article
Computer Science, Artificial Intelligence
Emre Celik
Summary: Arithmetic optimization algorithm (AOA) is a math optimizer that uses four arithmetic operators to find the global solution. To address issues like local minima stagnation and sluggish convergence, three effective modifications are proposed, including information exchange, visiting promising solutions based on Gaussian distribution, and obtaining quasi-opposition of the best solution. The proposed approach, IEGQO-AOA, shows potential in solving optimization problems with accuracy and convergence.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Telecommunications
Pravin G. Dhawale et al.
Summary: The proposed research introduces an improved arithmetic optimization algorithm that utilizes distribution behaviors to optimize different mathematical parameters, enabling better optimal solutions for engineering design problems. By enhancing the exploration and exploitation phase using the levy flight mechanism, the algorithm outperforms other classical algorithms in terms of fitness value and convergence, as demonstrated through testing on various benchmark and real-life engineering problems.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2023)
Article
Computer Science, Artificial Intelligence
Laith Abualigah et al.
Summary: This paper proposes a new data clustering method by using the advantages of metaheuristic optimization algorithms. A novel arithmetic optimization algorithm (AOA) is introduced to address complex optimization tasks. By integrating opposition-based learning (OLB) and Levy flight (LF) distribution, a new variant of AOA called Augmented AOA (AAOA) is developed to improve the exploration and exploitation trends of the traditional AOA. Extensive experiments and comparisons with other optimization algorithms demonstrate the superiority of AAOA in both benchmark functions and data clustering datasets.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Mathematical & Computational Biology
Linpeng Xie et al.
Summary: DNA computing is an efficient method, but designing high-quality DNA sequences is challenging. To optimize DNA sequences, we propose an improved billiard algorithm optimization algorithm. This paper contributes by introducing a good point set initialization method, using a billiard hitting strategy, incorporating a stochastic lens opposite learning mechanism, and introducing the harmonic search algorithm. Comparison and ablation experiments were conducted to ensure the effectiveness of the algorithms. The DNA sequences designed in this study have higher quality compared to other advanced algorithms.
INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES
(2023)
Article
Engineering, Multidisciplinary
Hueseyin Ozmen et al.
Summary: This paper investigates the performance of a novel artificial intelligence optimization technique, the boosted arithmetic optimization algorithm, in designing small size antennas for WLAN and WiMAX applications. The algorithm demonstrates superior explorative and exploitative behavior and is applied to a real-world engineering optimization problem, resulting in the successful design of a compact small-sized patch antenna operating at WLAN and WiMAX frequencies. Comparative evaluation shows significant efficiency improvements with a bandwidth increase of up to 21% and a size reduction of over 39%.
INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION
(2023)
Article
Computer Science, Information Systems
Ehab Saif Ghith et al.
Summary: In this study, a novel hybrid algorithm HAOAGTO is compared with four other algorithms AOA, GTO, SOA, and PPA for calculating the optimal indicators of PID controllers. The results show that the PPA technique achieves the highest fitness values in simulation results, while the HAOAGTO approach reduces the fitness function compared to other optimization techniques. The obtained results by the HAOAGTO algorithm are better than those obtained by AOA, GTO, SOA, and PPA.
Article
Multidisciplinary Sciences
Mohamed Issa
Summary: In this study, the AOA-HHO algorithm was used to determine the best parameter values for the PID controller, addressing the issue of traditional methods not achieving optimal response. The AOA-HHO algorithm was tested in two engineering applications, and showed superior performance compared to AOA and other comparative algorithms.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Davut Izci et al.
Summary: This paper introduces a novel hybrid metaheuristic algorithm for optimal design of an automobile cruise control (ACC) system, utilizing an arithmetic optimization algorithm (AOA) for explorative tasks and Nelder-Mead (NM) simplex search for exploitative tasks. Comparative analysis on benchmark functions and performance evaluations demonstrate the superior capability of the proposed AOA-NM algorithm for PID controller optimization in ACC systems. Additionally, the AOA-NM algorithm's enhanced effectiveness is confirmed through time domain analyses when compared to other existing approaches.
Article
Computer Science, Artificial Intelligence
Laith Abualigah et al.
Summary: This study presents an enhanced arithmetic optimization algorithm (AOA) called AOASC, which utilizes operators from the sine-cosine algorithm to improve the exploitation ability of AOA. The developed method shows improved convergence rate and solution quality.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Yu-Jun Zhang et al.
Summary: A hybrid algorithm combining Arithmetic Optimization algorithm and Aquila Optimizer, named AOAAO, was proposed in this study. The introduction of an energy parameter and piecewise linear map improved the balance between exploration and exploitation processes. Simulation experiments demonstrated that AOAAO achieved faster convergence rate and higher accuracy in optimization.
Article
Computer Science, Artificial Intelligence
Serdar Ekinci et al.
Summary: This paper proposes the application of a novel metaheuristic optimizer in biomedical field through the construction of an enhanced arithmetic optimization algorithm (AOA). The proposed algorithm demonstrates better capability in both benchmark functions and controller design for functional electrical stimulation (FES) system.
Article
Computer Science, Information Systems
Soumya J. Bhat et al.
Summary: With the advancement of sensor technologies, Wireless Sensor Networks (WSN) are envisioning a rich variety of promising services in many fields. However, coverage holes and disconnected networks can exist in randomly deployed networks.
PEER-TO-PEER NETWORKING AND APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Oscar Danilo Montoya et al.
Summary: This study addresses the optimal siting and sizing of photovoltaic resources in medium-voltage levels from an economical perspective. A hybrid optimization algorithm is proposed to solve the exact optimization model, which showed excellent numerical results in experiments.
Article
Computer Science, Artificial Intelligence
Laith Abualigah et al.
Summary: This paper presents an improved Arithmetic Optimization Algorithm (IAOA) for text document clustering. The IAOA integrates Opposition-based learning (OBL) and Levy flight distribution (LFD) to overcome the limitations of traditional AOA. Experimental results demonstrate the superiority of IAOA compared to other optimization algorithms on multiple benchmark datasets.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Mathematics
Mengnan Chen et al.
Summary: The paper introduces an improved arithmetic optimization algorithm (IAOA) based on population control strategy to solve numerical optimization problems. Experimental results show that the proposed algorithm outperforms other algorithms in terms of convergence speed, convergence accuracy, stability, and robustness.
Article
Mathematics
Heping Fang et al.
Summary: The arithmetic optimization algorithm (AOA) is a widely used metaheuristic algorithm characterized by simplicity and easy implementation. However, it suffers from slow convergence speed and the tendency to get stuck in local optima. To address these shortcomings, an improved arithmetic optimization algorithm (IAOA) is proposed, which incorporates dynamic inertia weights and mutation probability coefficients to enhance its exploration and exploitation abilities.
Article
Energy & Fuels
Hussein Mohammed Ridha et al.
Summary: Experimental data-oriented parameter extraction is crucial for accurately assessing the output current of photovoltaic cells. In this study, a robust adaptive arithmetic optimization algorithm based on the adaptive damping Berndt-hall-hall-Hausman approach is proposed to determine the parameters of single, double, and three diode PV models. The experimental results demonstrate the effectiveness and rapid convergence of the proposed approach.
Article
Computer Science, Information Systems
Jinzhong Zhang et al.
Summary: The arithmetic optimization algorithm (AOA) imitates arithmetic operations to find the global optimal solution, but it has drawbacks. To overcome these drawbacks, an enhanced AOA (EAOA) based on the Levy variation and the differential sorting variation is proposed. Experimental results show that the EAOA has better overall optimization ability, faster convergence rate, higher calculation precision, and stronger stability.
Article
Multidisciplinary Sciences
Abdelkader Abbassi et al.
Summary: This paper proposes a novel photovoltaic model based on an improved arithmetic optimization algorithm (IAOA) to extract solar cell parameters. The effectiveness and accuracy of the IAOA results are verified through experimental data.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2022)
Article
Mathematical & Computational Biology
Rong Zheng et al.
Summary: This paper presents an improved Arithmetic Optimization Algorithm (IAOA) integrated with a proposed Forced Switching Mechanism (FSM) to address the limitations of the original AOA. Experimental results demonstrate that the proposed algorithm outperforms other comparative algorithms in handling various problems.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2022)
Article
Chemistry, Analytical
An-Di Tang et al.
Summary: The paper discusses the UAV path planning problem, establishes a suitable mathematical model and efficient algorithm, and proposes a multiple population hybrid equilibrium optimizer (MHEO). The optimizer demonstrates faster convergence speed and better convergence accuracy in testing.
Article
Mathematical & Computational Biology
An-Di Tang et al.
Summary: This paper introduces an improved variant of SMA called MSMA, which addresses the shortcomings of SMA through chaotic opposition-based learning strategy, adaptive parameter control strategies, and spiral search strategy. The superiority of MSMA is demonstrated in various test functions and engineering optimization problems, outperforming other comparative algorithms in terms of convergence accuracy, speed, and stability.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
(2021)
Review
Mathematical & Computational Biology
Lei Xie et al.
Summary: This paper introduces a novel swarm-based metaheuristic algorithm, Tuna Swarm Optimization (TSO), inspired by the cooperative foraging behavior of tuna swarm. By mimicking the foraging behaviors of tuna swarm, TSO outperforms other comparative algorithms in terms of sensitivity, scalability, robustness, and convergence.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
(2021)
Article
Engineering, Multidisciplinary
Laith Abualigah et al.
Summary: The Arithmetic Optimization Algorithm (AOA) is a new meta-heuristic method that makes use of the distribution behavior of arithmetic operators, demonstrating promising results in solving challenging optimization problems across various search spaces.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Computer Science, Information Systems
Abhishek Sharma et al.
Summary: This study introduces a novel opposition-based arithmetic optimization algorithm for identifying unspecified parameters of PEM fuel cells. By comparing experimentally measured values with algorithmically computed values, the algorithm can accurately retrieve model parameters.
Article
Physics, Multidisciplinary
Rehab Ali Ibrahim et al.
Summary: This paper proposes an innovative approach based on a hybrid integration of Electric fish optimization (EFO) and Arithmetic optimization algorithm (AOA) to process high-dimensional feature selection problems. Comparisons with recent optimizers show that the EFOAOA method can accurately and efficiently identify the most important features.
Article
Engineering, Chemical
Laith Abualigah et al.
Summary: This paper proposes a new multilevel thresholding approach based on the Evolutionary Arithmetic Optimization Algorithm (AOA) called DAOA, which uses Differential Evolution technique to enhance local research of AOA and achieve better results in multilevel thresholding. The efficiency of the proposed DAOA method is evaluated and compared to other methods, showing superior performance and ranking first in all test cases.
Article
Computer Science, Information Systems
Andi Tang et al.
Summary: The Manta ray foraging optimization (MRFO) is a novel swarm-based metaheuristic optimizer but has drawbacks such as random selection of reference points and chain foraging. To address these issues, a modified version m-MRFO is proposed using strategies like elite search pool, adaptive control parameter, and distribution estimation. The performance of m-MRFO was validated on various test functions and real-world problems, showing significant improvements over MRFO.
Article
Automation & Control Systems
Jiankai Xue et al.
SYSTEMS SCIENCE & CONTROL ENGINEERING
(2020)
Article
Computer Science, Artificial Intelligence
Sankalap Arora et al.
Article
Computer Science, Theory & Methods
Ali Asghar Heidari et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2019)
Article
Computer Science, Information Systems
Zhendong Wang et al.
Article
Computer Science, Information Systems
Zeyu Sun et al.
Article
Computer Science, Interdisciplinary Applications
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE
(2016)
Article
Computer Science, Artificial Intelligence
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KNOWLEDGE-BASED SYSTEMS
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