Population-Based Redundancy Control in Genetic Algorithms: Enhancing Max-Cut Optimization by Yong-Hyuk Kim, Zong Woo Geem, Yourim Yoon

“…By preventing repeated exploration of previously visited solutions, the proposed method significantly improves the efficiency of traditional genetic algorithms and achieves performance levels comparable to harmony search. …”
Get full text

Research on path planning for mine rescue UAV based on improved Artificial Jellyfish Search algorithm by ZHENG Xuezhao, DIAO Chengze, CAI Guobin, WEN Hu, YANG Bo, HOU Zongxuan, MOU Haowei

“…To improve the path search efficiency and path optimization of mine rescue UAVs in environments with narrow passages and dense, complex obstacles, a path planning method based on the improved Artificial Jellyfish Search (IJS) algorithm was proposed. …”
Get full text

Multi-UAV Search and Rescue with Enhanced A∗ Algorithm Path Planning in 3D Environment by Yuwen Du

“…Compared with the traditional A∗ algorithm, the results demonstrate that the enhanced algorithm is effective in the scenario.…”
Get full text

Nearest neighbor search algorithm for high dimensional data based on weighted self-taught hashing by Cong PENG, Jiangbo QIAN, Huahui CHEN, Yihong DONG

“…Because of efficiency in query and storage,learning hash is applied in solving the nearest neighbor search problem.The learning hash usually converts high-dimensional data into binary codes.In this way,the similarities between binary codes from two objects are conserved as they were in the original high-dimensional space.In practical applications,a lot of data which have the same distance from the query point but with different code will be returned.How to reorder these candidates is a problem.An algorithm named weighted self-taught hashing was proposed.Experimental results show that the proposed algorithm can reorder the different binary codes with the same Hamming distances efficiently.Compared to the naive algorithm,the F1-score of the proposed algorithm is improved by about 2 times and it is better than the homologous algorithms,furthermore,the time cost is reduced by an order of magnitude.…”
Get full text

Nearest neighbor search algorithm for high dimensional data based on weighted self-taught hashing by Cong PENG, Jiangbo QIAN, Huahui CHEN, Yihong DONG

“…Because of efficiency in query and storage,learning hash is applied in solving the nearest neighbor search problem.The learning hash usually converts high-dimensional data into binary codes.In this way,the similarities between binary codes from two objects are conserved as they were in the original high-dimensional space.In practical applications,a lot of data which have the same distance from the query point but with different code will be returned.How to reorder these candidates is a problem.An algorithm named weighted self-taught hashing was proposed.Experimental results show that the proposed algorithm can reorder the different binary codes with the same Hamming distances efficiently.Compared to the naive algorithm,the F1-score of the proposed algorithm is improved by about 2 times and it is better than the homologous algorithms,furthermore,the time cost is reduced by an order of magnitude.…”
Get full text

An Aggressive Cuckoo Search Algorithm for Optimum Power Allocation in a CDMA-Based Cellular Network by Shawn Muthomi Mwitia, Davies Rene Segera

“…This paper proposes an aggressive cuckoo search algorithm for optimum power allocation in a CDMA-based cellular network. …”
Get full text

Optimal Allocation of DG and DSTATCOM in Radial Distribution System Using Cuckoo Search Optimization Algorithm by T. Yuvaraj, K. Ravi, K. R. Devabalaji

“…Recently developed nature-inspired cuckoo search algorithm (CSA) has been used to determine the optimal size of both DG and DSTATCOM. …”
Get full text

Gravitational Search Algorithm Swarm-Based UAV Reconnaissance for Multiple Targets Detection in Unknown Environment by Ahmed Al Amin, Irfan Azam, Md Masuduzzaman, Abdullah Qayyum, Muhammad Sajid Sarwar, Saud Khan, Soo Young Shin

“…This paper proposes a gravitational search algorithm (GSA) swarm-based UAV reconnaissance scheme to detect targets in an unknown environment. …”
Get full text

Urban Microcirculation Traffic Network Planning Method Based on Fast Search Random Tree Algorithm by Ning YU

“…To address this, a method based on fast search random tree algorithm is proposed. An urban microcirculation traffic network is constructed using directed graphs, and road network interference intensity and capacity are calculated. …”
Get full text

Shear Strength Determination in RC Beams Using ANN Trained with Tabu Search Training Algorithm by Alireza Shahbazian, Hamidreza Rabiefar, Babak Aminnejad

“…Since, according to No Free Lunch theorem, the performance of optimization algorithms is problem-dependent, this paper aims to assess the feasibility of modeling the shear strength of RC beams using ANNs trained with the Tabu Search Training (TST) algorithm. …”
Get full text

VNS-BA*: An Improved Bidirectional A* Path Planning Algorithm Based on Variable Neighborhood Search by Peng Li, Ying Li, Xuesong Dai

“…The A* algorithm is an effective method for path planning; however, it has certain drawbacks, such as a high number of turns, low planning efficiency, and redundant searches. …”
Get full text

A multi-strategy improved crow search algorithm for multi-level thresholding image segmentation by Xiaoping Zhang, Chengliang Huang, Weixia Gui

“…Abstract The standard crow search algorithm suffers from low convergence accuracy, insufficient stability, and susceptibility to getting stuck in local optima. …”
Get full text

Combination of Intermittent Search Strategy and an Improve Particle Swarm Optimization algorithm (IPSO) for model updating by Thanh Sang-To, Hoang-Le Minh, Tran-Thanh Danh, Samir Khatir, Magd Abdel Wahab., Thanh Cuong-Le

“…As know that the PSO algorithm has a fast search speed, yet the accuracy of the PSO algorithm is not as good as expected in many problems. …”
Get full text

Quality of Service Routing in Manet Using a Hybrid Intelligent Algorithm Inspired by Cuckoo Search by S. Rajalakshmi, R. Maguteeswaran

“…This paper proposes a hybrid algorithm by modifying the Cuckoo Search Algorithm (CSA) with the new position updating mechanism. …”
Get full text

Fault Detection in Harmonic Drive Using Multi-Sensor Data Fusion and Gravitational Search Algorithm by Nan-Kai Hsieh, Tsung-Yu Yu

“…This study proposes a fault diagnosis method for harmonic drive systems based on multi-sensor data fusion and the gravitational search algorithm (GSA). As a critical component in robotic arms, harmonic drives are prone to failures due to wear, less grease, or improper loading, which can compromise system stability and production efficiency. …”
Get full text

An improved multi-leader comprehensive learning particle swarm optimisation based on gravitational search algorithm by Alfred Adutwum Amponsah, Fei Han, Jeremiah Osei-Kwakye, Ernest Bonah, Qing-Hua Ling

“…Gravitational Search Algorithm is introduced to preserve the algorithm’s ability to maintain diversity. …”
Get full text

A model for placing electric vehicle charging stations in megapolis based on the sparrow search algorithm by Sizhuo Du, D. V. Kapski

“…From the verification results, it can be seen that compared with the traditional genetic algorithm, particle swarm algorithm and other address selection methods, the algorithm proposed in this paper is more optimized, which helps to improve the validity of choosing the address of the electric vehicle charging station and can be widely distributed.…”
Get full text

Automatic Neural Architecture Search Based on an Estimation of Distribution Algorithm for Binary Classification of Image Databases by Erick Franco-Gaona, Maria Susana Avila-Garcia, Ivan Cruz-Aceves

“…Convolutional neural networks (CNNs) are widely used for image classification; however, setting the appropriate hyperparameters before training is subjective and time consuming, and the search space is not properly explored. This paper presents a novel method for the automatic neural architecture search based on an estimation of distribution algorithm (EDA) for binary classification problems. …”
Get full text

An adaptive cuckoo search based algorithm for placement of relay nodes in wireless body area networks by Tushar Kanta Samal, Sushree Chinmayee Patra, Manas Ranjan Kabat

“…The set of relay nodes obtained by our proposed adaptive cuckoo search algorithm compared with cuckoo search as well as other state of the art algorithms via simulation results. …”
Get full text

Optimization of TCN-BiLSTM for dissolved oxygen prediction based on improved sparrow search algorithm by Pei Shi, Mingjie Tang, Quan Wang, Xiaofei Ma

“…To address these challenges, this paper proposes a dissolved oxygen prediction method based on an improved sparrow search algorithm optimized TCN- BiLSTM (SMI-TCN BiLSTM). …”
Get full text