Search Results - HYBRID GUIDANCE ALGORITHMS

A new evolutionary optimization algorithm with hybrid guidance mechanism for truck-multi drone delivery system by Yılmaz, Cemal, Cengiz, Enes, Kahraman, Hamdi Tolga

“… Being able to avoid local solution traps in the search space of TSP-D and accurately converge to the global optimal solution is the main challenge for evolutionary search algorithms…”
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Study on docking guidance algorithm for hybrid underwater glider in currents by Yang, Canjun, Peng, Shilin, Fan, Shuangshuang, Zhang, Shaoyong, Wang, Pinfu, Chen, Ying

“… Considering that the ocean current may have a significant impact on the HUG, a pursuit guidance algorithm with current compensation is presented…”
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Optimal guidance whale optimization algorithm and hybrid deep learning networks for land use land cover classification by Vinaykumar, V. N., Babu, J. Ananda, Frnda, Jaroslav

“…) model generating more features. This research proposes the optimal guidance-whale optimization algorithm (OG-WOA…”
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Enhancing the landing guidance of a reusable launch vehicle by improving genetic algorithm-based deep reinforcement learning using Hybrid Deterministic-Stochastic algorithm by Nugroho, Larasmoyo, Andiarti, Rika, Akmeliawati, Rini, Wijaya, Sastra Kusuma

“…The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge…”
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HYBRID ALGORITHM OF AUTOMATIC TRACKING FOR EMBEDDED COMPUTERS OF OPTOELECTRONIC NAVIGATION AND GUIDANCE SYSTEMS by Tupikov, V.A., Pavlova, V. A., Lizin, A. I., Gessen, P.A., Saenko, V. D.

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Evaluation of hybrid forecasting methods for organic Rankine cycle: Unsupervised learning-based outlier removal and partial mutual information-based feature selection by Ping, Xu, Yang, Fubin, Zhang, Hongguang, Xing, Chengda, Zhang, Wujie, Wang, Yan

“…•The nonlinear characteristics of real organic Rankine cycle (ORC) data are analysed.•An unsupervised learning-based algorithm is proposed for outlier removal…”
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Hybrid Deep Learning Algorithms for an Efficient Career Guidance Systems for College Students by Ren, Bailu

“… The advent of AI algorithms such as ML and DL algorithms in career guidance systems to provide the personalized, data driven career recommendations to the college students…”
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A low-thrust guidance law based on Lyapunov feedback control and hybrid genetic algorithm by Yuan, Ren, Pingyuan, Cui, Enjie, Luan

“… Finally, the weights of the Lyapunov function are adjusted by hybrid genetic algorithm to improve the performance of the guidance…”
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Optimal Configuration of Transformer–Energy Storage Deeply Integrated System Based on Enhanced Q-Learning with Hybrid Guidance by Li, Zhe, You, Li, Kang, Yiqun, Tan, Daojun, Cai, Xuan, Xiong, Haozhe, Liu, Yonghui

“…—an enhanced Q-learning with hybrid guidance algorithm is proposed. The improved algorithm demonstrates…”
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Designing integrated guidance law for aerodynamic missiles by hybrid multi-objective evolutionary algorithm and tabu search by Omar, Hanafy M., Abido, M.A.

“…In this paper, a strength Pareto evolutionary algorithm (SPEA) based approach is proposed for designing an integrated fuzzy guidance law which consists of three fuzzy controllers…”
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A vehicle-centric algorithm for hybrid route guidance by Farver, J., Chabini, I.

“…This paper presents a decentralized algorithm that can function as a component of a hybrid centralized/decentralized route guidance system…”
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Hybrid leader based optimization: a new stochastic optimization algorithm for solving optimization applications by Dehghani, Mohammad, Trojovský, Pavel

“…) is introduced that is applicable in optimization challenges. The main idea of HLBO is to guide the algorithm population under the guidance of a hybrid leader…”
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A Hybrid Time-Varying PSO-ACO Algorithm for Dynamic TSP for Driver Guidance Applications by Elleuch, Wiam, Tounsi, Maroua, Wali, Ali, Alimi, Adel M.

“…) algorithm, specifically designed to prioritize the fastest route over the shortest…”
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Optimal Sizing of Hybrid Microgrid System Using Chaotic-Reverse Learning and Elite-Guidance Artificial Bee Colony Algorithm by Baole, Huang, Yun, Li, Bo, Gao

“… net cash cost of the system, and an improved artificial bee colony search algorithm based on chaotic-reverse learning and elite-guidance was proposed…”
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Hybrid Genetic Algorithm fuzzy rule based guidance and control for launch vehicle by Ansari, U., Alam, S.

“…This paper presents a methodology of designing guidance and control law for four stage launch vehicle…”
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A lowthrust guidance law based on Lyapunov feedback control and hybrid genetic algorithm by Yuan, Ren, Pingyuan, Cui, Enjie, Luan

“… Finally, the weights of the Lyapunov function are adjusted by hybrid genetic algorithm to improve the performance of the guidance law…”
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Based on Hybrid Genetic Algorithm and Cellular Automata Combined Traffic Signal Control and Route Guidance by Lu Shoufeng, Liu Ximin

“… The paper combines hybrid genetic algorithm with cellular automata simulation to calculate travel time and optimize signal setting plan…”
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Angular constrained guidance law and its optimization with hybrid optimization algorithm by Chao Tao, Wang Songyan, Yang Ming

“… Parameters optimization of this guidance law is proposed using a hybrid optimization algorithm in order to help the designer to find suitable parameters, which can have the specific characteristics they are seeking…”
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Optimal guidance strategy for crowd evacuation with multiple exits: A hybrid multiscale modeling approach by Zhang, Zhe, Jia, Limin

“… A simulation algorithm is proposed to integrate a pedestrian following model and strategic guidance model based on the follower-leader interaction…”
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Distributed swarm system with hybrid-flocking control for small fixed-wing UAVs: Algorithms and flight experiments by Song, Yeongho, Lim, Seunghan, Myung, Hyunsam, Lee, Hokeun, Jeong, Junho, Lim, Heungsik, Oh, Hyondong

“…). In particular, to perform various missions with multiple UAVs that are densely gathered and collision free, a hybrid-flocking control algorithm is synthesized by using three types of control protocols…”
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