Suchergebnisse - 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 von 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 …”
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Deep learning at the service of metaheuristics for solving numerical optimization problems von Oyelade, Olaide N., Ezugwu, Absalom E., Saha, Apu K., Thieu, Nguyen V., Gandomi, Amir H.

“… The trained model generates an initial solution space and is integrated into the optimization algorithms to intelligently …”
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UAV path planning in mountain areas based on a hybrid parallel compact arithmetic optimization algorithm von Wang, Ruo-Bin, Wang, Wei-Feng, Geng, Fang-Dong, Pan, Jeng-Shyang, Chu, Shu-Chuan, Xu, Lin

“… To address this, we propose a novel version of arithmetic optimization algorithm (AOA), named parallel and compact AOA (PCAOA …”
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Lung infection detection and classification using the integration of the improved grasshopper and the remora optimization approaches with improved SVM von Bhimavarapu, Usharani

“… A kurtosis-based multi-thresholding grasshopper optimization algorithm is proposed for image segmentation, reducing complexity and enhancing the accuracy of lesion identification …”
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LEM-PSO: a lightweight evolutionary-state-driven multiple information learning particle swarm optimization algorithm von Yang, Xu, Li, Hongru

“… To solve the defects of PSO, a lightweight evolutionary-state-driven multiple information learning particle swarm optimization algorithm (LEM-PSO) is proposed …”
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Surrogate-assisted evolutionary sampling particle swarm optimization for high-dimensional expensive optimization von Huang, Kuihua, Zhen, Huixiang, Gong, Wenyin, Wang, Rui, Bian, Weiwei

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

“… This study presents a novel approach to SDP using a multi-filter wrapper feature selection technique (MFWFS …”
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Differential evolution using multi-strategy for the improvement of optimization performance von 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 von 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 a single-hidden layer feedforward network (SLFN …”
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A hybrid algorithm considering continuous transportation for flexible job shop scheduling problem with finite transportation resources von Wang, Qingzheng, Gao, Liang, Yu, Yanbin, Xiang, Zhimou, Yao, Youjie, Li, Xinyu, Zhou, Wei

“… -T), and thus the optimal solution cannot be found in an acceptable time using meta-heuristic algorithms …”
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An adaptive grey wolf optimization with differential evolution operator for solving the discount {0–1} knapsack problem von Wang, Zijian, Fang, Xi, Gao, Fei, Xie, Liang, Meng, Xianchen

“… It is an NP-hard problem and also a binary optimization problem. As a new intelligent algorithm that imitates the leadership function of wolves, the grey wolf optimizer (GWO …”
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Empowering white shark optimizer for dimensionality reduction with case study of apple disease prediction von Sami, Aya, Barakat, Sherif I., Mostafa, Reham R.

“… It is a challenging problem that can be viewed as an NP-hard optimization task. To tackle this problem, powerful wrapper-based metaheuristic algorithms are employed …”
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A parallel hybrid approach integrating clonal selection with artificial bee colony for logistic regression in spam email detection von Dedeturk, Bilge Kagan, Akay, Bahriye

“… However, LR suffers from low detection rates caused by the gradient descent algorithm used in its training phase …”
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An evolutionary swarm intelligence optimizer based on probabilistic distribution von Yang, Yifei, Yang, Haichuan, Li, Haotian, Tang, Zheng, Gao, Shangce

“… In this study, we propose a novel approach to balance exploitation and exploration …”
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M2M-Net: multi-objective neural architecture search using dynamic M2M population decomposition von Tan, Zhiwen, Guo, Daqi, Chen, Junan, Chen, Lei

“… However, the sensitivity of objectives in MO-NAS varies over generations, leading to a search imbalance, and local search plays a crucial role in this combinatorial optimization problem with a discrete search space …”
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Artificial hummingbird algorithm with chaotic-opposition-based population initialization for solving real-world problems von 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 problems with locally optimal solutions …”
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