標(biāo)題: Titlebook: Advances in Swarm Intelligence; 12th International C Ying Tan,Yuhui Shi Conference proceedings 2021 Springer Nature Switzerland AG 2021 swa [打印本頁(yè)] 作者: 貪污 時(shí)間: 2025-3-21 19:50
書(shū)目名稱(chēng)Advances in Swarm Intelligence影響因子(影響力)
書(shū)目名稱(chēng)Advances in Swarm Intelligence影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Advances in Swarm Intelligence網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Advances in Swarm Intelligence網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Advances in Swarm Intelligence被引頻次
書(shū)目名稱(chēng)Advances in Swarm Intelligence被引頻次學(xué)科排名
書(shū)目名稱(chēng)Advances in Swarm Intelligence年度引用
書(shū)目名稱(chēng)Advances in Swarm Intelligence年度引用學(xué)科排名
書(shū)目名稱(chēng)Advances in Swarm Intelligence讀者反饋
書(shū)目名稱(chēng)Advances in Swarm Intelligence讀者反饋學(xué)科排名
作者: Fissure 時(shí)間: 2025-3-21 23:31 作者: SOB 時(shí)間: 2025-3-22 01:30 作者: Merited 時(shí)間: 2025-3-22 04:45
Amit Bhati,Sandeep Joshi,Ashish Guptamultiobjective evolutionary algorithm based on decomposition and tabu search to search an approximate Pareto front with good convergence and diversity. To further enhance the search ability, uniform generation is introduced to generate different uniform weight vectors for decomposition in every gene作者: Charitable 時(shí)間: 2025-3-22 12:01 作者: Cleave 時(shí)間: 2025-3-22 14:21
Pierre Collet,Jean-Pierre Eckmannptimization (DMO). Similarly, maintaining population diversity and reusing previous evolutionary information are useful to explore promising regions and to find high-quality solutions quickly in time-varying environments. To this end, a sliding time window based on parallel computing (STW-PC) is int作者: 使聲音降低 時(shí)間: 2025-3-22 17:49
A Modelling Framework for Societal Systems, involved, different decision makers have different objectives to optimize, and at least one decision maker has more than one objective. Although evolutionary multiobjective optimization has been studied for many years in the evolutionary computation field, evolutionary multiparty multiobjective opt作者: Pander 時(shí)間: 2025-3-22 23:08
A Preventive Adverse Drug Events System, reach multiple targets with the shortest path. This paper proposes an Immune System algorithm (ISA) for real-time map building and path planning for multi-target applications. Once a global route is planned by the ISA, a foraging-enabled trail is created to guide the robot to the multiple targets. 作者: 浸軟 時(shí)間: 2025-3-23 03:36 作者: Exuberance 時(shí)間: 2025-3-23 07:36 作者: 鳴叫 時(shí)間: 2025-3-23 12:35
Concepts and Trends in Particle Physicsely on the accurate mathematical model of the object and can decouple the model. This method can eliminate the influence of model errors, time-varying parameters and external interference on the control effect. Firstly, the manipulators is divided into two subsystems. For each joint subsystem, the h作者: 厚顏無(wú)恥 時(shí)間: 2025-3-23 15:34
Mass Issues in the Standard Model,portation task. Since the effect of each robot is different in the whole system, a three-layer control framework is designed. For the first layer, mobile bases run distributed observer which uses global states. At the second layer, the position deviation is adopted to improve the accuracy of general作者: mastopexy 時(shí)間: 2025-3-23 20:40 作者: 珠寶 時(shí)間: 2025-3-23 23:11
Concepts and Trends in Particle Physicsntial Bayesian filters, such as Kalman and particle filter, suffer from the problem of accumulative errors, which cannot provide long-time high-precision services for localization. To solve the problem of arbitrary noise distribution, this paper proposes a Gaussian condensation filter to achieve hig作者: 殘酷的地方 時(shí)間: 2025-3-24 05:10 作者: set598 時(shí)間: 2025-3-24 09:51
Concepts for Distributed Systems Designcy and more robustness. This study focuses on the map fusion problem in the multi-robot SLAM task, which is to fuse the local maps created by multiple independent robots into an integrated map. A multi-robot SLAM map fusion method based on image stitching is therefore proposed. A single robot uses l作者: GREEN 時(shí)間: 2025-3-24 12:05
Concepts for Distributed Systems Designgnal strength as fitness values. Many current works in the literature have achieved good performance in single-target search problems. However, when there are multiple targets in an environment to be searched, many swarm intelligence-based methods may converge to specific locations prematurely, maki作者: 無(wú)法破譯 時(shí)間: 2025-3-24 15:29 作者: Limpid 時(shí)間: 2025-3-24 22:40 作者: Motilin 時(shí)間: 2025-3-25 02:24 作者: 側(cè)面左右 時(shí)間: 2025-3-25 03:30
Advances in Swarm Intelligence978-3-030-78811-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 明確 時(shí)間: 2025-3-25 11:18
A Multi-objective Evolutionary Algorithm Based on Second-Order Differential Operator(MOP). The distribution and convergence of the non-dominated solutions set are often the key indicators to evaluate the merits of MOP algorithms. In this paper, we propose a decomposition multi-objective evolutionary algorithm based on second-order differential operator (MOEA/D-SODE). By selecting t作者: Spina-Bifida 時(shí)間: 2025-3-25 14:40 作者: 依法逮捕 時(shí)間: 2025-3-25 16:58 作者: 提名 時(shí)間: 2025-3-25 20:22
A Hybrid Algorithm for Multi-objective Permutation Flow Shop Scheduling Problem with Setup Timesctive PFSP with setup time is established, then based on the theory of Pareto, Genetic algorithm and Variable Neighborhood Search, a new hybrid algorithm is proposed, named as Multiple Objective Hybrid Genetic algorithm (MOHGA). Finally, a set of benchmark instances with different scales are used to作者: 制度 時(shí)間: 2025-3-26 02:20 作者: sperse 時(shí)間: 2025-3-26 07:43
A New Evolutionary Approach to Multiparty Multiobjective Optimization involved, different decision makers have different objectives to optimize, and at least one decision maker has more than one objective. Although evolutionary multiobjective optimization has been studied for many years in the evolutionary computation field, evolutionary multiparty multiobjective opt作者: 透明 時(shí)間: 2025-3-26 11:18
Immune System Algorithms to Environmental Exploration of Robot Navigation and Mapping reach multiple targets with the shortest path. This paper proposes an Immune System algorithm (ISA) for real-time map building and path planning for multi-target applications. Once a global route is planned by the ISA, a foraging-enabled trail is created to guide the robot to the multiple targets. 作者: 預(yù)感 時(shí)間: 2025-3-26 14:38
Primitive Shape Recognition Based on Local Point Cloud for Object Grasprich information provided by depth sensors, it has paved the way for the object recognition. The geometric information is more conducive to the primitive recognition of the object, and the primitive shape information is used as the input information for the robot to grasp. This study proposes a prim作者: NIL 時(shí)間: 2025-3-26 17:49 作者: FOLD 時(shí)間: 2025-3-26 22:56 作者: NEXUS 時(shí)間: 2025-3-27 05:03 作者: 吸引力 時(shí)間: 2025-3-27 07:17
Real-Time Sea Cucumber Detection Based on YOLOv4-Tiny and Transfer Learning Using Data Augmentationquiring high computing resources with a lot of training data, which is difficult in the underwater environment. YOLOv4-tiny is proposed based on YOLOv4 to simplify the network structure and reduce parameters, which makes it be suitable for developing on mobile and embedded devices. In this paper, in作者: Amnesty 時(shí)間: 2025-3-27 13:13
Toward Swarm Robots Tracking: A Constrained Gaussian Condensation Filter Methodntial Bayesian filters, such as Kalman and particle filter, suffer from the problem of accumulative errors, which cannot provide long-time high-precision services for localization. To solve the problem of arbitrary noise distribution, this paper proposes a Gaussian condensation filter to achieve hig作者: 證實(shí) 時(shí)間: 2025-3-27 17:29 作者: abolish 時(shí)間: 2025-3-27 19:50
Map Fusion Method Based on Image Stitching for Multi-robot SLAMcy and more robustness. This study focuses on the map fusion problem in the multi-robot SLAM task, which is to fuse the local maps created by multiple independent robots into an integrated map. A multi-robot SLAM map fusion method based on image stitching is therefore proposed. A single robot uses l作者: FEMUR 時(shí)間: 2025-3-28 00:48
Robotic Brain Storm Optimization: A Multi-target Collaborative Searching Paradigm for Swarm Roboticsgnal strength as fitness values. Many current works in the literature have achieved good performance in single-target search problems. However, when there are multiple targets in an environment to be searched, many swarm intelligence-based methods may converge to specific locations prematurely, maki作者: 妨礙 時(shí)間: 2025-3-28 05:35 作者: Nomogram 時(shí)間: 2025-3-28 08:38 作者: Intuitive 時(shí)間: 2025-3-28 13:14 作者: implore 時(shí)間: 2025-3-28 17:22 作者: 花束 時(shí)間: 2025-3-28 20:48 作者: Crumple 時(shí)間: 2025-3-29 01:18
Concepts and Trends in Particle Physicsof the extended state observer, the inertia matrix of the manipulator system is used to decouple the static part. Finally, the effectiveness of ADRC is verified by simulation and it is demonstrated that ADRC’s control effect outperforms PD and CSMC in either accuracy, dynamic characteristics or robustness.作者: Breach 時(shí)間: 2025-3-29 03:04 作者: 面包屑 時(shí)間: 2025-3-29 10:34
Superstrings and Four-Dimensional Physics,ata augmentation method based on improved Mosaic data augmentation is further proposed to improve the quality of the training dataset. The proposed method is evaluated on the real-world sea cucumber underwater videos and has a good performance.作者: 詞匯 時(shí)間: 2025-3-29 12:04 作者: 創(chuàng)作 時(shí)間: 2025-3-29 17:29 作者: DNR215 時(shí)間: 2025-3-29 22:35 作者: milligram 時(shí)間: 2025-3-30 02:00 作者: Offbeat 時(shí)間: 2025-3-30 04:22 作者: 古文字學(xué) 時(shí)間: 2025-3-30 10:40
0302-9743 ence, ICSI 2021, held in Qingdao, China, in July 2021.. The 104 full papers presented in this volume were carefully reviewed and selected from 177 submissions. They cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for Optimization; Particle Swa作者: 老人病學(xué) 時(shí)間: 2025-3-30 15:12 作者: 培養(yǎng) 時(shí)間: 2025-3-30 17:21 作者: obviate 時(shí)間: 2025-3-30 21:29 作者: 情節(jié)劇 時(shí)間: 2025-3-31 01:29 作者: 偽書(shū) 時(shí)間: 2025-3-31 06:48 作者: landfill 時(shí)間: 2025-3-31 09:58
A Hybrid Algorithm for Multi-objective Permutation Flow Shop Scheduling Problem with Setup Times evaluate the performance of MOHGA. Experimental results show that the MOHGA obtains some solutions better than those previously reported in the literature, which reveals that the proposed MOHGA is an effective approach for the optimization of multi-objective PFSP with setup time.作者: 高興去去 時(shí)間: 2025-3-31 15:18
Adaptive Task Distribution Approach Using Threshold Behavior Tree for Robotic Swarmtains information of targets and neighboring robots in the field of view. In the condition of lacking communication, each robot makes its own decision on which kind of tasks to perform according to its threshold behavior tree. Finally, the robotic swarm can achieve the expected task distribution ratio which equals to that of the targets.
