標(biāo)題: Titlebook: Bio-Inspired Computing: Theories and Applications; 17th International C Linqiang Pan,Dongming Zhao,Jianqing Lin Conference proceedings 2023 [打印本頁(yè)] 作者: 去是公開(kāi) 時(shí)間: 2025-3-21 16:28
書(shū)目名稱(chēng)Bio-Inspired Computing: Theories and Applications影響因子(影響力)
書(shū)目名稱(chēng)Bio-Inspired Computing: Theories and Applications影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Bio-Inspired Computing: Theories and Applications網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Bio-Inspired Computing: Theories and Applications網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Bio-Inspired Computing: Theories and Applications被引頻次
書(shū)目名稱(chēng)Bio-Inspired Computing: Theories and Applications被引頻次學(xué)科排名
書(shū)目名稱(chēng)Bio-Inspired Computing: Theories and Applications年度引用
書(shū)目名稱(chēng)Bio-Inspired Computing: Theories and Applications年度引用學(xué)科排名
書(shū)目名稱(chēng)Bio-Inspired Computing: Theories and Applications讀者反饋
書(shū)目名稱(chēng)Bio-Inspired Computing: Theories and Applications讀者反饋學(xué)科排名
作者: Exposition 時(shí)間: 2025-3-21 22:27
Research on Multi-modal Multi-objective Path Planning by Improved Ant Colonyblem. However, the existing algorithms to solve the path problem can only find a single optimal path, cannot satisfactorily find multiple groups of optimal solutions at the same time, and it is very necessary to propose as many solutions as possible. So this paper carries out a research on the Multi作者: 無(wú)法解釋 時(shí)間: 2025-3-22 02:57
Local Path Planning Algorithm Designed for Unmanned Surface Vessel Based on Improved Genetic Algoritod and genetic obstacle is above the globally planned algorithm. Among them, genetic algorithm has strong spatial search ability and strong adaptive ability. However, due to the low efficiency of the traditional genetic algorithm, it cannot meet the needs of the real-time path planning of unmanned s作者: HERE 時(shí)間: 2025-3-22 05:37 作者: HUMP 時(shí)間: 2025-3-22 11:08 作者: 拍翅 時(shí)間: 2025-3-22 14:42
S-Plane Controller Parameter Tuning Based on IAFSA for UUVing error caused by manually setting S-plane control parameters, the artificial fish swarm algorithm is improved by adopting methods such as predatory behavior, adaptive step size, and field of view with attenuation factor to improve the optimization performance of the artificial fish swarm. The imp作者: Hemoptysis 時(shí)間: 2025-3-22 18:46
A Reinforcement-Learning-Driven Bees Algorithm for?Large-Scale Earth Observation Satellite Schedulinuild a mathematical programming model of the EOSSP. After that, we propose a reinforcement-learning-driven bees algorithm (RLBA) to solve a large-scale EOSSP (LSEOSSP). The RLBA adopts a Q-learning method to select search operations from global search and neighbourhood search. We define a new state 作者: Euphonious 時(shí)間: 2025-3-23 01:18 作者: 頭盔 時(shí)間: 2025-3-23 03:11
Global Path Planning for Unmanned Ships Based on Improved Particle Swarm Algorithmt navigation environment. To address the problem that the particle swarm algorithm is easy to fall into local optimum at the later stage, we first integrate chaos theory into the basic particle swarm algorithm, and generate chaotic population and replace some particles that fall into local optimum b作者: Hallmark 時(shí)間: 2025-3-23 05:42
A Self-adaptive Single-Objective Multitasking Optimization AlgorithmTOs often perform better than conventional single-task evolutionary. Transferring knowledge plays a very important role in multitask optimization algorithms. Many existing methods transfer elite solutions between tasks to improve algorithm performance, however, these methods may or produce negative 作者: palliative-care 時(shí)間: 2025-3-23 13:35 作者: 盡管 時(shí)間: 2025-3-23 16:39
Multi-stage Objective Function Optimized Hand-Eye Self-calibration of?Robot in?Autonomous Environmenntenance, which differs from traditional robot hand-eye calibration in that the traditional robot hand-eye calibration requires a dedicated calibration board to assist offline completion. Aiming at the problem that the existing self-calibration methods cannot be optimized as a whole, which leads to 作者: 表兩個(gè) 時(shí)間: 2025-3-23 19:21 作者: CLASP 時(shí)間: 2025-3-23 23:06 作者: Antagonist 時(shí)間: 2025-3-24 03:46 作者: JOG 時(shí)間: 2025-3-24 06:58
Research on Unmanned Ship Collision Avoidance Algorithm Based on Improved Particle Swarm Optimizatiothod, artificial potential field method, ant colony algorithm, particle swarm algorithm and other methods are difficult to be directly applied to path planning. Aiming at the local collision avoidance problem of unmanned ships, this paper proposes a local collision avoidance method for unmanned ship作者: 半球 時(shí)間: 2025-3-24 10:53 作者: conservative 時(shí)間: 2025-3-24 16:11 作者: saturated-fat 時(shí)間: 2025-3-24 21:10
https://doi.org/10.1007/978-981-99-1549-1artificial intelligence; machine learning; motion planning; computer vision; fuzzy sets; image processing作者: Ovulation 時(shí)間: 2025-3-24 23:16 作者: GILD 時(shí)間: 2025-3-25 05:49 作者: 國(guó)家明智 時(shí)間: 2025-3-25 08:42
Schiffbautechnischen Gesellschaftand over-heating will cause the battery’s performance to drop rapidly and even cause safety crises. The parameters of an electrochemical model are critical to making lithium-ion batteries operate safely because they can help indicate the internal states of the battery. Thus, it is significant to ide作者: ethnology 時(shí)間: 2025-3-25 15:42
Schiffbautechnischen Gesellschaftblem. However, the existing algorithms to solve the path problem can only find a single optimal path, cannot satisfactorily find multiple groups of optimal solutions at the same time, and it is very necessary to propose as many solutions as possible. So this paper carries out a research on the Multi作者: BLUSH 時(shí)間: 2025-3-25 17:27 作者: progestin 時(shí)間: 2025-3-25 23:53
Schiffbautechnischen Gesellschaftti-objective particle swarm optimization (PAMOPSO) is proposed. The algorithm first determines the preferred regions through reference points, divides the target space into preferred regions and non-preferred regions, and uses different dominance rules in the different regions to improve the surviva作者: 情節(jié)劇 時(shí)間: 2025-3-26 03:55
Schiffbautechnischen Gesellschafte accuracy and easy to fall into local optimization, this paper proposes an improved HHO (IHHO) algorithm based on spiral search and neighborhood perturbation. First, Tent chaotic mapping is used to initialize the population, enhance the diversity of the population and improve the initial convergenc作者: 監(jiān)禁 時(shí)間: 2025-3-26 06:23
Schiffbautechnischen Gesellschafting error caused by manually setting S-plane control parameters, the artificial fish swarm algorithm is improved by adopting methods such as predatory behavior, adaptive step size, and field of view with attenuation factor to improve the optimization performance of the artificial fish swarm. The imp作者: Prosaic 時(shí)間: 2025-3-26 11:31 作者: 哺乳動(dòng)物 時(shí)間: 2025-3-26 13:23 作者: interference 時(shí)間: 2025-3-26 19:28 作者: 絆住 時(shí)間: 2025-3-27 00:25 作者: LATER 時(shí)間: 2025-3-27 02:35 作者: 整頓 時(shí)間: 2025-3-27 08:53 作者: BYRE 時(shí)間: 2025-3-27 13:18 作者: SSRIS 時(shí)間: 2025-3-27 17:38 作者: Pamphlet 時(shí)間: 2025-3-27 21:44 作者: BARB 時(shí)間: 2025-3-28 00:38
Schiffbautechnischen Gesellschaftthod, artificial potential field method, ant colony algorithm, particle swarm algorithm and other methods are difficult to be directly applied to path planning. Aiming at the local collision avoidance problem of unmanned ships, this paper proposes a local collision avoidance method for unmanned ship作者: 正式演說(shuō) 時(shí)間: 2025-3-28 03:02
Schiffbautechnischen Gesellschafte optimization problems (CMOPs). However, some existing constrained multi-objective algorithms do not use an archiving mechanism, which leads to easy loss of the searched feasible solutions during the search process. In addition, even if some algorithms use an archiving mechanism, an unsuitable arch作者: gorgeous 時(shí)間: 2025-3-28 09:39
Schiffbautechnischen Gesellschaftds to a tremendous high-dimensional search space, which is still challenging for existing multiobjective evolutionary algorithms (MOEAs). The voltage transformer ratio error estimation (TREE) problem is a typical LSMOP in real-world applications. A number of large-scale multiobjective evolutionary a作者: BUOY 時(shí)間: 2025-3-28 11:55
Communications in Computer and Information Sciencehttp://image.papertrans.cn/b/image/186344.jpg作者: PALL 時(shí)間: 2025-3-28 18:28 作者: fatty-streak 時(shí)間: 2025-3-28 22:42
Schiffbautechnischen Gesellschafte has been proposed in this paper. Secondly, using the characteristics of the Dijkstra algorithm that can quickly find the optimal path, generate an initial feasible solution about the problem, and improve the problem that the initial pheromone of ant colony algorithm is insufficient and searching f作者: 可用 時(shí)間: 2025-3-28 23:53 作者: 非實(shí)體 時(shí)間: 2025-3-29 06:38 作者: 不要嚴(yán)酷 時(shí)間: 2025-3-29 10:59
Bericht über das 25. Ge ch?ftsjahr 1923nd effectively utilize valuable solutions in tasks to improve the efficiency of knowledge transfer between tasks. Experimental results on single-objective multitasking optimization benchmark problems indicate that SAMTOA outperforms the other the state-of-the-art EMTO algorithms.作者: staging 時(shí)間: 2025-3-29 13:33
Schiffbautechnischen Gesellschaftraction algorithm and introduces a scoring mechanism to retain more correct matching points in the feature matching stage. Two different types of experiments were designed to validate our method. One is a single camera dataset experiment, which shows that our method is more accurate and robust than 作者: OMIT 時(shí)間: 2025-3-29 17:24
Schiffbautechnischen Gesellschafto that the optimal obstacle avoidance strategy can be calculated through the optimization of the particle swarm optimization algorithm. The simulation research simulates the complex environment at sea and selects typical encounter situations in the maritime rules for testing. The simulation results 作者: modish 時(shí)間: 2025-3-29 22:22 作者: 情感脆弱 時(shí)間: 2025-3-30 00:45 作者: 防止 時(shí)間: 2025-3-30 05:31
Surrogate Model-Assisted Evolutionary Algorithms for?Parameter Identification of?Electrochemical Modof the electrochemical model; thus, it can improve the identification accuracy significantly. However, how to select a proper surrogate model has not been studied adequately. In view of this, this paper compares seven different surrogate models’ performance for parameter identification and aims to p作者: 物質(zhì) 時(shí)間: 2025-3-30 10:04
Research on Multi-modal Multi-objective Path Planning by Improved Ant Colonye has been proposed in this paper. Secondly, using the characteristics of the Dijkstra algorithm that can quickly find the optimal path, generate an initial feasible solution about the problem, and improve the problem that the initial pheromone of ant colony algorithm is insufficient and searching f作者: libertine 時(shí)間: 2025-3-30 12:51
An Improved Harris Hawk Optimization Algorithm Based on?Spiral Search and?Neighborhood Perturbation jump out of the local optimum. CEC2021 test function and 8 classic test functions are used to demonstrate the effectiveness of the proposed method. Compared with the basic HHO and the other improved swarm intelligence algorithms, the results show that the proposed algorithm has better global search作者: DUST 時(shí)間: 2025-3-30 20:05 作者: 主動(dòng)脈 時(shí)間: 2025-3-31 00:06
A Self-adaptive Single-Objective Multitasking Optimization Algorithmnd effectively utilize valuable solutions in tasks to improve the efficiency of knowledge transfer between tasks. Experimental results on single-objective multitasking optimization benchmark problems indicate that SAMTOA outperforms the other the state-of-the-art EMTO algorithms.作者: 我不明白 時(shí)間: 2025-3-31 00:52 作者: 同時(shí)發(fā)生 時(shí)間: 2025-3-31 08:52
Research on Unmanned Ship Collision Avoidance Algorithm Based on Improved Particle Swarm Optimizatioo that the optimal obstacle avoidance strategy can be calculated through the optimization of the particle swarm optimization algorithm. The simulation research simulates the complex environment at sea and selects typical encounter situations in the maritime rules for testing. The simulation results 作者: antecedence 時(shí)間: 2025-3-31 10:33 作者: URN 時(shí)間: 2025-3-31 16:59 作者: 接觸 時(shí)間: 2025-3-31 18:19
