Showing 1-25 of 2,872 resultsfor "Index Terms":Whale optimization algorithms
"Index Terms":Whale optimization algorithms
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This paper suggests using Mahalanobis distance to regenerate a new whale position to increase the performance of the whale optimization algorithm. Learning from previous evolutionary searches allows the probability parameters to be self-adapted. The suggested approach was compared to the classical whale optimization algorithm (WOA), particle swarm optimization (PSO), and differential evolution alg...Show More
Performance Comparison of Evolutionary Biogeography Based Whale Optimizations with Chaotic Arc Adaptive Grasshopper Optimization Algorithms
Ai Nurhayati;Jack Febrian Rusdi;Saepudin;Harya Gusdevi;Nova Agustina;Widi Linggih Jaelani
2021 3rd International Conference on Cybernetics and Intelligent System (ICORIS)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
Whale Optimization Algorithm and Grasshopper Optimization Algorithm are two heuristic search methods inspired by the intelligence of whales and grasshoppers that are very useful for solving global optimization problems. The Evolutionary Biogeography-based Whale Optimization Algorithm was first introduced in the year 2020 to complete the global optimization function. Chaotic Arc Adaptive Grasshoppe...Show More
An Improved Optimization Algorithm Based on Leapfrog and Whale Optimization Fusion
Ting Nie;Xu He;Yong Xiao Yang;Qiang Xiao Zhao;Zheng Zhong Ning
2021 3rd International Conference on Natural Language Processing (ICNLP)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
Whale optimization algorithm is a new type of swarm intelligence optimization algorithm. Aiming at the problems of low optimization accuracy and easy falling into local optima in the basic whale optimization algorithm, an improved whale optimization algorithm that combines the whale algorithm and the hybrid leapfrog search strategy is proposed. The local search mechanism of the hybrid frog leaping...Show More
An Improved Whale Optimization Algorithm Based on Nonlinear Function and Local Search
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)
Year: 2021 | Conference Paper |
In order to improve the searching ability of whale optimization algorithm in continuous optimization function, an improved whale optimization algorithm based on nonlinear function and local search (NLWOA) is proposed. First, because the linear decreasing convergence function cannot balance the exploitation and exploration ability of WOA, this paper designs a nonlinear convergence function to make ...Show More
A Beta Multi-Objective Whale Optimization Algorithm
2023 IEEE Symposium on Computers and Communications (ISCC)
Year: 2023 | Conference Paper |
This paper presents a new $\beta$ -Multi-Objective Whale Optimization Algorithm, $\beta$ -MOWOA. The $\beta$ -MOWOA algorithm uses two profiles to control both exploration and exploitation phases based on the beta function. The exploitation processing step follow a narrow beta distribution, while the exploration phase uses a large Gaussian-like beta. The experimental study focused on 13 Dynamic Mu...Show More
Optimization Design of LQR Controller Based on Improved Whale Optimization Algorithm
2020 3rd International Conference on Information and Computer Technologies (ICICT)
Year: 2020 | Conference Paper |
Cited by: Papers (7)
Whale optimization algorithm (WOA) is a typical swarm intelligence algorithm. It has been applied to many different optimization problems due to its advantages of simple structure, few parameters and strong optimization ability. However, it has not been used in the optimization of LQR controller. In this paper, we apply the mproved WOA to this problem. It is compared with the traditional optimizat...Show More
An Improvement of Whale Optimization Algorithm with Rao Algorithm for Optimization Problems
Sakkayaphop Pravesjit;Arit Thammano;Krittika Kantawong;Duangjai Jitkongchuen;Panchit Longpradit;Rattasak Pengchata
2023 15th International Conference on Information Technology and Electrical Engineering (ICITEE)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
This paper proposes an improvement of whale optimization algorithm for optimization problems. In this study, the Rao algorithm was improved by means of procedures of spiral updating position. The algorithm was tested on six benchmark problems and compared with differential evolution (DE), intersection mutation differential evolution (IMDE) algorithm, and whale optimization algorithm (WOA). The com...Show More
A Modified Multi-Objective Whale Optimization Algorithm with Dynamic Leader Selection Mechanism
2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
The whale optimization algorithm (WOA) has less control parameters and it is easier to implement. The multi-objective whale optimization algorithm (MOWOA) also shows good exploration and exploitation capability. A modified multi-objective whale optimization algorithm with dynamic leader selection mechanism (MMOWOA-DLS) is proposed. First, the opposition-based learning (OBL) is employed to accelera...Show More
An Improved Hybrid Whale Optimization Algorithm Based on Differential Evolution
2020 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)
Year: 2020 | Conference Paper |
Cited by: Papers (4)
The standard whale algorithm is easy to fall into the local optimum, in order to further improve the performance of the whale optimization algorithm, improve the local search ability and global search ability of the algorithm, a new hybrid whale optimization algorithm is proposed in this paper. Differential evolution algorithm is combined with the standard whale optimization algorithm, and chaos i...Show More
An improved whale optimization algorithm with cultural mechanism for high-dimensional global optimization problems
2020 IEEE International Conference on Information Technology,Big Data and Artificial Intelligence (ICIBA)
Year: 2020 | Conference Paper |
Cited by: Papers (7)
Whale optimization algorithm (WOA) is a swarm intelligence optimization algorithm which imitates the behavior of humpback whales. It has been widely accepted to solve problems in various engineering fields because its less required parameters and excellent optimal performance. Similarly to other meta-heuristic algorithm, WOA still has the disadvantage of trap in local optima. In this paper a cultu...Show More
Research on Optimized Design of Antenna Based on Improved Whale Optimization Algorithm
2021 IEEE 4th International Conference on Electronic Information and Communication Technology (ICEICT)
Year: 2021 | Conference Paper |
In order to improve the efficiency of antenna design, various intelligent optimization algorithms are used for settling the complex nonlinear problems involved. The whale optimization algorithm (WOA) is one of the relatively novel and well-performing swarm intelligence optimization algorithms. In this article, an improved whale optimization algorithm (IWOA) is proposed in view of the shortcomings ...Show More
An Adaptive Evolutionary Whale Optimization Algorithm
2021 33rd Chinese Control and Decision Conference (CCDC)
Year: 2021 | Conference Paper |
Cited by: Papers (4)
Compared with traditional swarm intelligence algorithm, whale optimization algorithm (WOA) has unique mechanism and simple parameters, with certain advantages, such as high search precision and strong generalization ability. For the shortcomings of whale optimization algorithm: slow convergence speed, and easily getting fallen into local optimum, this paper proposes an adaptive evolutionary optimi...Show More
A Hybrid Whale Optimization and Particle Swarm Optimization Algorithm
2021 IEEE International Conference on Progress in Informatics and Computing (PIC)
Year: 2021 | Conference Paper |
Cited by: Papers (5)
In the field of optimization algorithms, hybrid algorithms are increasingly valued by researchers for their effectiveness in improving algorithmic capabilities.In recent years, a new type of natural meta-heuristic algorithm called whale optimization algorithm has been proposed. The algorithm refers to whales in nature and imitates their three different feeding methods to solve realistic optimizati...Show More
An Improved Whale Optimization Algorithm and Its Application on Inverse Scattering Problem
2021 13th International Symposium on Antennas, Propagation and EM Theory (ISAPE)
Year: 2021 | Conference Paper |
Whale Optimization Algorithm (WOA) is a stochastic optimization algorithm which imitates the predation of whale for searching their preies. Due to its search efficiency, WOA has been broadly utilized to solve sundry kinds of engineering problems. However, the traditional WOA is often trapped into local optima while solving highly ill-posed inverse problems. Therefore, a new improved WOA is propose...Show More
Research on Personalized Recommendation Based on Improved Whale Optimization Algorithm
2024 4th International Symposium on Computer Technology and Information Science (ISCTIS)
Year: 2024 | Conference Paper |
In order to solve the problem of insufficient information mining and low degree of personalization due to the single data dimension of cognitive diagnosis test question recommendation, this paper proposes a personalized exercise question recommendation method based on multi-dimensional data cognitive diagnosis optimization model. Firstly, the improved whale optimization algorithm with adaptive pro...Show More
Improved Whale Optimization Algorithm via Cellular Automata
Yuchao Gao;Cheng Qian;Zhenghang Tao;Hu Zhou;Jinran Wu;Yang Yang
2020 IEEE International Conference on Progress in Informatics and Computing (PIC)
Year: 2020 | Conference Paper |
Cited by: Papers (3)
The idea of whale optimization algorithm comes from the unique hunting behavior of whales in the ocean. The whale optimization algorithm realizes the optimization of search by surrounding and attacking prey with bubbles. The algorithm has the characteristics of simple principles, good operation, easy implementation with few parameters and strong robustness. However, there are still some problems o...Show More
An Efficient Hybrid DE-WOA Algorithm for Numerical Function Optimization
2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)
Year: 2019 | Conference Paper |
Cited by: Papers (3)
A newly hybrid algorithm called DEWOA is proposed with the combination of Whale Optimization Algorithm (WOA) and Difference Evolution (DE). The main idea of this algorithm is to integrate the ability of exploitation in WOA with the ability of exploration in DE to synthesize both algorithms' strength. To evaluate the solution quality and the performance of the proposed algorithm, some unimodal, mul...Show More
Buoy Autonomous Depth Determination Control Algorithm Based on Improved Whale Optimization Algorithm
Chenyang Yuan;Zhihong Li;Jiafu Yi;Yaxuan Lv;Lihao Deng;Xi Wang;Yue Gao;Long Xu;Jingjing Wang
2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI)
Year: 2023 | Conference Paper |
In order to realize the reliable control of autonomous depth setting in the course of buoy movement, an autonomous depth setting control algorithm based on Improved Whale Optimization Algorithm (IWOA) is proposed in this paper, utilizing the improved whale optimization algorithm to realize the self-tuning of PID control parameters. To improve the convergence speed and accuracy of control parameter...Show More
An Optimal Differential Vector Incorporated Whale Optimizer
Jiatianyi Yu;Haichuan Yang;Baohang Zhang;Shibo Dong;Shangce Gao
2022 15th International Symposium on Computational Intelligence and Design (ISCID)
Year: 2022 | Conference Paper |
The whale optimization algorithm (WOA) is one of the more classic optimization algorithms, which derived from the hunting actions of whale. While WOA is well suited to exploitation, this also leads to a low level of exploration capability, making it difficult to break out of the local optimum. In this study, by incorporating the optimal differential vector in an effective whale optimizer, we propo...Show More
An Effective Feature Selection Technique for Detecting Parkinson's Disease Using Binary Whale Optimization Algorithm
2023 IEEE World Conference on Applied Intelligence and Computing (AIC)
Year: 2023 | Conference Paper |
Parkinson's disease is a neurological condition that affects the nerves of the body and results in uncontrollable body movements like shaking, stiffness etc. Parkinson's disease affects around 10 million people worldwide. Early detection of the disease is very important for patients. The easiest way to detect the disease is with the help of the voice recordings i.e., speech signals. As the speech ...Show More
A whale optimization algorithm combining a non-linear convergence factor and differential evolution is proposed to address the shortcomings of the Whale Optimization Algorithm (WOA) in terms of insufficient search capability and the tendency to fall into local extremes. The exploration and exploitation capabilities of the WOA are coordinated through an improved non-linear convergence factor, and t...Show More
Research on Enhanced Hybrid Whale Optimization Algorithm with Inverse Learning Strategy and Lévy Flight Mechanism
Danyang Guo;Yinghao Zheng;Jiaxin Lu;Sihua Liang;Tuyin Chen;Jialin Yang;Chao Zhou
2023 4th International Conference on Computer Engineering and Intelligent Control (ICCEIC)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
In recent years, bio-inspired optimization algorithms have attained significant success in addressing complex global optimization issues. Nonetheless, a single bio-inspired search strategy may struggle to handle diverse and intricate problems. To surmount this constraint, this paper introduces an enhanced hybrid whale algorithm (MEHWOA) based on reverse learning strategy and Lévy flight mechanism ...Show More
Hybrid WOA-GA Algorithm for Coverage Optimization and Energy Efficiency in Wireless Sensor Networks
2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC)
Year: 2025 | Conference Paper |
This article presents a comparative study of the hybrid WOA-GA algorithm (Whale Optimization Algorithm - Genetic Algorithm) applied to the optimization of wireless sensor networks, in comparison with three other algorithms: GA (Genetic Algorithm), PSO (Particle Swarm Optimization), and ACO (Ant Colony Optimization). The performance of the algorithms is evaluated based on three key criteria: networ...Show More
Optimal Power Flow of Power Systems Using Hybrid Whale and Particle Swarm Optimization Technique
2024 IEEE International Conference on Energy Internet (ICEI)
Year: 2024 | Conference Paper |
In order to ensure population diversity and overcome premature convergence, differential evolution strategy was introduced and a whale particle swarm hybrid algorithm was proposed. The proposed method has been achievemented on the IEEE 30-bus test system considering three objective functions, such as line loss, generation cost, and weighted generation cost and voltage offset. By comparing whale pa...Show More
Whale Optimization Algorithm Based on Dynamic Inertia Weight Factor
2023 5th International Conference on Frontiers Technology of Information and Computer (ICFTIC)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Aiming at the drawbacks of whale optimization algorithm (WOA) that the precision is poor, the convergence speed is slow, and it is easily trapped in local optimization when solving complex projects, this paper proposes an improved Whale Optimization Algorithm (IWOA).This strategy incorporates dynamic inertia weight factor into the updated expression of the traditional whale position to guarantee a...Show More
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