Results 81 to 90 of about 920 (162)

Research on Traversal Path Planning and Collaborative Scheduling for Corn Harvesting and Transportation in Hilly Areas Based on Dijkstra’s Algorithm and Improved Harris Hawk Optimization

Agriculture
This study addresses the challenges of long traversal paths, low efficiency, high fuel consumption, and costs in the collaborative harvesting of corn by harvesters and grain transport vehicles in hilly areas.
Huanyu Liu, Jiahao Luo, Lihan Zhang, Hao Yu, Xiangnan Liu, Shuang Wang   +5 more
doaj   +1 more source

Self-adaptive hybrid mutation slime mould algorithm: Case studies on UAV path planning, engineering problems, photovoltaic models and infinite impulse response

Alexandria Engineering Journal
There are many classic highly complex optimization problems in the world, therefore, it is still necessary to find an applicable and effective algorithm to solve these problems.
Yu-Jun Zhang, Yu-Fei Wang, Yu-Xin Yan, Juan Zhao, Zheng-Ming Gao   +4 more
doaj   +1 more source

PMSM Torque Ripple Suppression Method Based on SMA-Optimized ILC. [PDF]

Sensors (Basel), 2023
Li H, Guo Y, Xu Q.
europepmc   +1 more source

Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors

Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors
This paper proposes a novel hyper-heuristic algorithm termed evolutionary multi-mode slime mold optimization (EMSMO) for addressing continuous optimization problems. The architecture of a typical hyper-heuristic algorithm comprises two main components: the high-level component and the low-level component.
openaire  

Optimizing LSSVM for Bearing Fault Diagnosis Using Adaptive t-Distribution Slime Mold Algorithm

Electronics
Accurate and robust bearing fault diagnosis is crucial for the reliability of rotating machinery. To improve the precision of bearing fault classification, this study introduces a novel methodology that integrates the Adaptive t-distribution Slime Mold Algorithm (AtSMA) with the Least Squares Support Vector Machine (LSSVM). During the signal processing
Jingyang Qiao, Kai Zhu, Lei Hua, Yueyuan Fan, Peng Li   +4 more
openaire   +1 more source

Enhanced Target Localization in the Internet of Underwater Things through Quantum-Behaved Metaheuristic Optimization with Multi-Strategy Integration

Journal of Marine Science and Engineering
Underwater localization is considered a critical technique in the Internet of Underwater Things (IoUTs). However, acquiring accurate location information is challenging due to the heterogeneous underwater environment and the hostile propagation of ...
Xiaojun Mei, Fahui Miao, Weijun Wang, Huafeng Wu, Bing Han, Zhongdai Wu, Xinqiang Chen, Jiangfeng Xian, Yuanyuan Zhang, Yining Zang   +9 more
doaj   +1 more source

Improved slime mould algorithm based on hybrid strategy optimization of Cauchy mutation and simulated annealing. [PDF]

PLoS One, 2023
Zhang X, Liu Q, Bai X.
europepmc   +1 more source

An improved artemisinin algorithm for task allocation in heterogeneous robot systems for chemical inspection. [PDF]

Sci Rep
Li C, Liu Q, Yin M, Lang X, Bo G.
europepmc   +1 more source

Salt affects structure, function and transcriptome in the giant cells of slime molds. [PDF]

Sci Rep
Sánchez-Parra B, Rosina P, Fernández-Mendoza F, Grube M.   +3 more
europepmc   +1 more source