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…”
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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

“… To address this, we propose a novel version of arithmetic optimization algorithm (AOA), named parallel and compact AOA (PCAOA…”
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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.

“… The trained model generates an initial solution space and is integrated into the optimization algorithms to intelligently…”
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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…”
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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

“… 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 by 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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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

“…-T), and thus the optimal solution cannot be found in an acceptable time using meta-heuristic algorithms…”
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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

“… However, LR suffers from low detection rates caused by the gradient descent algorithm used in its training phase…”
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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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Software defect prediction based on multi-filter wrapper feature selection and deep neural network with attention mechanism by 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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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

“… 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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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 a single-hidden layer feedforward network (SLFN…”
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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 problems with locally optimal solutions…”
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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.

“… 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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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…”
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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

“… 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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A novel binary chaotic genetic algorithm for feature selection and its utility in affective computing and healthcare by Tahir, Madiha, Tubaishat, Abdallah, Al-Obeidat, Feras, Shah, Babar, Halim, Zahid, Waqas, Muhammad

“…Genetic algorithm (GA) is a nature-inspired algorithm to produce best possible solution by selecting the fittest individual from a pool of possible solutions…”
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