Search Results - "S.I.: Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications"

A modified whale optimization algorithm with multi-strategy mechanism for global optimization problems by Li, Mingyuan, Yu, Xiaobing, Fu, Bingbing, Wang, Xuming

“…Whale Optimization Algorithm (WOA) is an outstanding nature-inspired algorithm widely used to solve many complex engineering optimization problems. However,…”
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Deep learning at the service of metaheuristics for solving numerical optimization problems by Oyelade, Olaide N., Ezugwu, Absalom E., Saha, Apu K., Thieu, Nguyen V., Gandomi, Amir H.

“…Integrating deep learning methods into metaheuristic algorithms has gained attention for addressing design-related issues and enhancing performance. The…”
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UAV path planning in mountain areas based on a hybrid parallel compact arithmetic optimization algorithm by Wang, Ruo-Bin, Wang, Wei-Feng, Geng, Fang-Dong, Pan, Jeng-Shyang, Chu, Shu-Chuan, Xu, Lin

“…Unmanned Aerial Vehicle (UAV) path planning is one of the core components of its entire autonomous control system. The main challenge lies in efficiently…”
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Lung infection detection and classification using the integration of the improved grasshopper and the remora optimization approaches with improved SVM by Bhimavarapu, Usharani

“…Infectious lung diseases, such as pneumonia and COVID-19, pose significant threats to global health, with high mortality rates and substantial burdens on…”
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LEM-PSO: a lightweight evolutionary-state-driven multiple information learning particle swarm optimization algorithm by Yang, Xu, Li, Hongru

“…Particle swarm optimization (PSO) has been widely used, in which each particle selects its learning sample relying on fitness information. Intuitively,…”
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Surrogate-assisted evolutionary sampling particle swarm optimization for high-dimensional expensive optimization by Huang, Kuihua, Zhen, Huixiang, Gong, Wenyin, Wang, Rui, Bian, Weiwei

“…Surrogate-assisted evolutionary algorithms have been widely employed for solving expensive optimization problems. To address high-dimensional expensive…”
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Software defect prediction based on multi-filter wrapper feature selection and deep neural network with attention mechanism by Malhotra, Ruchika, Chawla, Sonali, Sharma, Anjali

“…Software defect prediction (SDP) models rely on various software metrics and defect data to identify potential defects in new software modules. However, the…”
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Differential evolution using multi-strategy for the improvement of optimization performance by Liu, Nengxian, Luo, Jianbin, Chang, Jie, Pan, Jeng-Shyang

“…Differential evolution (DE) is an effective population-based optimization approach that has been widely used to deal with scientific and engineering problems…”
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A coevolutionary artificial bee colony for training feedforword neural networks by Zhang, Li, Li, Hong, Gao, Weifeng

“…A coevolutionary artificial bee colony (CoABC) trainer based on a hybrid encoding mode is proposed to optimize the network structure and connection weights of…”
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A hybrid algorithm considering continuous transportation for flexible job shop scheduling problem with finite transportation resources by Wang, Qingzheng, Gao, Liang, Yu, Yanbin, Xiang, Zhimou, Yao, Youjie, Li, Xinyu, Zhou, Wei

“…Traditional flexible job shop scheduling ignores transportation or considers production and transportation separately. With factory digitalization and the…”
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An adaptive grey wolf optimization with differential evolution operator for solving the discount {0–1} knapsack problem by Wang, Zijian, Fang, Xi, Gao, Fei, Xie, Liang, Meng, Xianchen

“…The discount {0–1} knapsack problem (D {0–1} KP) is a new variant of the knapsack problem. It is an NP-hard problem and also a binary optimization problem. As…”
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Empowering white shark optimizer for dimensionality reduction with case study of apple disease prediction by Sami, Aya, Barakat, Sherif I., Mostafa, Reham R.

“…Feature selection (FS) plays a crucial role in developing classification models by reducing the number of features used while improving their predictive power…”
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Artificial hummingbird algorithm with chaotic-opposition-based population initialization for solving real-world problems by Kaur, Sumandeep, Kaur, Lakhwinder, Lal, Madan

“…The artificial hummingbird algorithm is a global search mechanism with many applications in engineering design, but it tends to stall in high-dimensional…”
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M2M-Net: multi-objective neural architecture search using dynamic M2M population decomposition by Tan, Zhiwen, Guo, Daqi, Chen, Junan, Chen, Lei

“…Evolutionary multi-objective neural architecture search (MO-NAS) is an efficient solution for automating the design of deep neural network architectures,…”
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An evolutionary swarm intelligence optimizer based on probabilistic distribution by Yang, Yifei, Yang, Haichuan, Li, Haotian, Tang, Zheng, Gao, Shangce

“…In this study, we propose a novel approach to balance exploitation and exploration. The proposed approach is the Evolutionary Swarm Intelligence (ESI)…”
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A parallel hybrid approach integrating clonal selection with artificial bee colony for logistic regression in spam email detection by Dedeturk, Bilge Kagan, Akay, Bahriye

“…Spam emails are sent to recipients for advertisement and phishing purposes. In either case, it disturbs recipients and reduces communication quality…”
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