標(biāo)題: Titlebook: Advances in Swarm Intelligence; Third International Ying Tan,Yuhui Shi,Zhen Ji Conference proceedings 2012 Springer-Verlag Berlin Heidelbe [打印本頁] 作者: 嬉戲 時(shí)間: 2025-3-21 17:14
書目名稱Advances in Swarm Intelligence影響因子(影響力)
書目名稱Advances in Swarm Intelligence影響因子(影響力)學(xué)科排名
書目名稱Advances in Swarm Intelligence網(wǎng)絡(luò)公開度
書目名稱Advances in Swarm Intelligence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Swarm Intelligence被引頻次
書目名稱Advances in Swarm Intelligence被引頻次學(xué)科排名
書目名稱Advances in Swarm Intelligence年度引用
書目名稱Advances in Swarm Intelligence年度引用學(xué)科排名
書目名稱Advances in Swarm Intelligence讀者反饋
書目名稱Advances in Swarm Intelligence讀者反饋學(xué)科排名
作者: 領(lǐng)先 時(shí)間: 2025-3-21 22:42 作者: 極力證明 時(shí)間: 2025-3-22 03:44
A SI-Based Algorithm for Structural Damage Detection mathematically converted into a constrained optimization problem, which is then hopefully solved by a swarm intelligence (SI) based algorithm proposed in this paper. The performance of the proposed algorithm is experimentally evaluated by the measured data of four damage patterns of a building mode作者: abject 時(shí)間: 2025-3-22 07:01
A Quantum-inspired Bacterial Swarming Optimization Algorithm for Discrete Optimization Problemserial foraging optimization (BFO). The proposed QBSO algorithm applies the quantum computing theory to bacterial foraging optimization, and thus has the advantages of both quantum computing theory and bacterial foraging optimization. Also, we use the swarming pattern of birds in block introduced in 作者: 煩擾 時(shí)間: 2025-3-22 12:15
Swarm Intelligence in Cloud Environment-side network of cloud. Swarm intelligence has been adopted for enhancing performance of overall system network. Specific location at serverside of network is going to be selected by swarm intelligence for accessing desired elements. Flexibility, robustness and self-organization have been considered作者: hardheaded 時(shí)間: 2025-3-22 14:33
Swarm Intelligence Supported e-Remanufacturingn order to increase the efficiency of remanufacturing process. Swarm intelligence (SI), a relatively new bio-inspired family of methods, seeks inspiration in the behavior of swarms of insects or other animals. After applied in other fields with success, SI started to gather the interest of researche作者: 單純 時(shí)間: 2025-3-22 18:00 作者: 致命 時(shí)間: 2025-3-22 23:38
Quantum-Behaved Particle Swarm Optimization Algorithm Based on Border Mutation and Chaos for Vehicleum-Behaved Particle Swarm Optimization algorithm(QPSO), when the algorithm is trapped in local optimum, chaotic search is used for the optimal particles to enhance the optimization ability of the algorithm, avoid getting into local optimum and premature convergence. To thosecross-border particles,mu作者: 同位素 時(shí)間: 2025-3-23 04:28 作者: 委派 時(shí)間: 2025-3-23 08:45 作者: 動(dòng)脈 時(shí)間: 2025-3-23 13:29
A Coevolutionary Memetic Particle Swarm Optimizer update rules of the global evolution and utilizes five different effective local search strategies for individual improvement. The combination of the local search strategy and its corresponding computational budget is defined as coevolutionary meme (CM). CMPSO co-evolves both CMs and a single parti作者: chandel 時(shí)間: 2025-3-23 15:55
Handling Multi-optimization with Gender-Hierarchy Based Particle Swarm Optimizer optimization problems. By employing the concepts of gender and hierarchy to particles, both the exploration ability and the exploitation skill are extended. In order to maintain an uniform distribution of non-dominated solutions, a novel proposal, called Rectilinear Distance based Selection and Rep作者: 折磨 時(shí)間: 2025-3-23 20:37 作者: AVERT 時(shí)間: 2025-3-24 00:56 作者: 彎腰 時(shí)間: 2025-3-24 03:00 作者: Magnificent 時(shí)間: 2025-3-24 10:31
Optimization Locations of Wind Turbines with the Particle Swarm Optimizationty limits, bus voltage, and load balance are considered. The Particle Swarm Optimization(PSO) is applied to solve this problem. To enhance the performance of the new algorithm, a load flow program with Equivalent Current Injection (ECI) is used to analyze the load flow of distribution systems. Based作者: 嚴(yán)厲批評(píng) 時(shí)間: 2025-3-24 11:20
A PSO-Based Algorithm for Load Balancing in Virtual Machines of Cloud Computing Environmental users can also get satisfying services conveniently. But if we take only execution time into consideration when scheduling the cloud resources, it may occur serious load imbalance problem between Virtual Machines (VMs) in Cloud Computing environments. In addition to solve this problem, a new task作者: 血統(tǒng) 時(shí)間: 2025-3-24 15:42 作者: Obstruction 時(shí)間: 2025-3-24 21:15 作者: 混合 時(shí)間: 2025-3-25 01:45 作者: Infinitesimal 時(shí)間: 2025-3-25 06:43 作者: 匍匐前進(jìn) 時(shí)間: 2025-3-25 10:56
https://doi.org/10.1007/978-3-030-16084-5on resource that occurs in a limited supply relative to demand by considering it as a discrete event dynamical system. Timed Petri nets are a graphical and mathematical modeling tool applicable to discrete event dynamical systems in order to represent its states evolution. Lyapunov stability theory 作者: 尾巴 時(shí)間: 2025-3-25 13:56 作者: 反復(fù)無常 時(shí)間: 2025-3-25 17:14
Understanding Knowledge Creation, mathematically converted into a constrained optimization problem, which is then hopefully solved by a swarm intelligence (SI) based algorithm proposed in this paper. The performance of the proposed algorithm is experimentally evaluated by the measured data of four damage patterns of a building mode作者: 暫時(shí)過來 時(shí)間: 2025-3-25 23:27 作者: 表兩個(gè) 時(shí)間: 2025-3-26 03:01 作者: RAGE 時(shí)間: 2025-3-26 05:47 作者: 接合 時(shí)間: 2025-3-26 09:20
George R. Goethals,Scott T. Allisone help of such a grey relational analysis, this study also proposed a grey-based particle swarm optimization algorithm in which both inertia weight and acceleration coefficients are varying over the generations. In each generation, every particle has its own algorithm parameters and those parameters作者: Onerous 時(shí)間: 2025-3-26 14:16 作者: 外星人 時(shí)間: 2025-3-26 19:43 作者: 令人苦惱 時(shí)間: 2025-3-26 23:30
Conceptions of Space in Social Thought is based on the adaptive crossover rate used in Differential Evolution (DE) algorithm. The same formula is adopted and applied to inertia weight, .. We further investigate the characteristics of the adaptive . graphically and careful analysis showed that there exists two important parameters in the作者: 人造 時(shí)間: 2025-3-27 03:14
The Societal Conception of Space update rules of the global evolution and utilizes five different effective local search strategies for individual improvement. The combination of the local search strategy and its corresponding computational budget is defined as coevolutionary meme (CM). CMPSO co-evolves both CMs and a single parti作者: Obverse 時(shí)間: 2025-3-27 08:35
The Societal Conception of Space optimization problems. By employing the concepts of gender and hierarchy to particles, both the exploration ability and the exploitation skill are extended. In order to maintain an uniform distribution of non-dominated solutions, a novel proposal, called Rectilinear Distance based Selection and Rep作者: CARK 時(shí)間: 2025-3-27 12:24
The Child’s and the Practical View of Spaceal best location in each swarm of the bottom layer to be the position of the particle in the swarm of the top layer, fourteen configurations of the different number of particles are compared. Fourteen benchmark functions, being in seven types with different circumstance, are used in the experiments.作者: CAB 時(shí)間: 2025-3-27 14:35
Conceptions of Space in Social Thoughtwbacks such as the premature convergence and the low convergence speed. The IWMPSO introduces a wavelet-based mutation operator first and then the mutated particle replaces a selected particle with a small probability. The numerical experimental results on benchmark test functions show that the perf作者: 摘要記錄 時(shí)間: 2025-3-27 21:02 作者: 碎石頭 時(shí)間: 2025-3-28 00:09 作者: Geyser 時(shí)間: 2025-3-28 03:48 作者: 成份 時(shí)間: 2025-3-28 09:39 作者: abreast 時(shí)間: 2025-3-28 14:20
What Cities Ought to Know about Lifenterprise’s credit graduation situation and so on. It is more similar with the actual operation. In order to solve this model that is a non-linear 0-1 fractional integer programming question, we present a adaptive particle swarm optimization (APSO) algorithm. It is shown with the numerical result th作者: 消耗 時(shí)間: 2025-3-28 17:42 作者: 假設(shè) 時(shí)間: 2025-3-28 22:22
Conference proceedings 2012ICSI 2012, held in Shenzhen, China in June 2012. The 145 revised full papers presented were carefully reviewed and selected from 247 submissions. The papers are organized in 27 cohesive sections covering all major topics of swarm intelligence research and developments.作者: fatty-streak 時(shí)間: 2025-3-29 00:12 作者: Emg827 時(shí)間: 2025-3-29 05:14 作者: Chronological 時(shí)間: 2025-3-29 08:58
https://doi.org/10.1007/978-3-642-30976-2data mining; machine learning; multi-agent systems; optimization algorithms; parallel implementation; alg作者: 山間窄路 時(shí)間: 2025-3-29 14:42 作者: 原告 時(shí)間: 2025-3-29 16:00 作者: avulsion 時(shí)間: 2025-3-29 21:12
A PSO-Based Algorithm for Load Balancing in Virtual Machines of Cloud Computing EnvironmentPSO, and introduce a simple mutation mechanism and a self-adapting inertia weight method by classifying the fitness values. In the end of this paper, the global search performance and convergence rate of our adaptive algorithm are validated by the results of the comparative experiments.作者: 抱狗不敢前 時(shí)間: 2025-3-30 00:45
0302-9743 nstitute the proceedings of the Third International Conference on Swarm Intelligence, ICSI 2012, held in Shenzhen, China in June 2012. The 145 revised full papers presented were carefully reviewed and selected from 247 submissions. The papers are organized in 27 cohesive sections covering all major 作者: Eeg332 時(shí)間: 2025-3-30 06:02
Emotional Intelligence and Leadershiption in the behavior of swarms of insects or other animals. After applied in other fields with success, SI started to gather the interest of researchers working in the field of remanufacturing. In this paper we provide a survey of SI methods that have been used in e-remanufacturing.作者: 助記 時(shí)間: 2025-3-30 10:25 作者: 惡意 時(shí)間: 2025-3-30 15:29 作者: SAGE 時(shí)間: 2025-3-30 19:23 作者: 依法逮捕 時(shí)間: 2025-3-30 23:04
Swarm Intelligence Supported e-Remanufacturingtion in the behavior of swarms of insects or other animals. After applied in other fields with success, SI started to gather the interest of researchers working in the field of remanufacturing. In this paper we provide a survey of SI methods that have been used in e-remanufacturing.作者: Insubordinate 時(shí)間: 2025-3-31 02:15
Quantum-Behaved Particle Swarm Optimization Algorithm Based on Border Mutation and Chaos for Vehiclees to enhance the optimization ability of the algorithm, avoid getting into local optimum and premature convergence. To thosecross-border particles,mutation strategy is used to increase the variety of swarm and strengthen the global search capability. This algorithm is applied to vehicle routing problem to achieve good results.作者: 和平主義 時(shí)間: 2025-3-31 05:57
Training ANFIS Parameters with a Quantum-behaved Particle Swarm Optimization Algorithm) for training the parameters of an ANFIS. The ANFIS trained by the proposed method is applied to nonlinear system modeling and chaotic prediction. The simulation results show that the ANFIS-QPSO method performs much better than the original ANFIS and the ANFIS-PSO method.作者: Alopecia-Areata 時(shí)間: 2025-3-31 11:14 作者: 徹底明白 時(shí)間: 2025-3-31 13:43
A SI-Based Algorithm for Structural Damage Detectionl of 3-storey steel frame structure made in laboratory. Some illustrated results show that the proposed method is very suitable for the structural multi-damage identification, which also show that the SI-based algorithm for structural damage detection can provide an effective and robust tool in the SHM field.作者: 青春期 時(shí)間: 2025-3-31 17:37 作者: RLS898 時(shí)間: 2025-4-1 00:11
Grey-Based Particle Swarm Optimization Algorithm may differ for different particles. The proposed PSO algorithm is applied to solve the optimization problems of twelve test functions for illustration. Simulation results are compared with the other three variants of PSO to demonstrate the search performance of the proposed algorithm.作者: Peak-Bone-Mass 時(shí)間: 2025-4-1 02:11
An Improved MOPSO with a Crowding Distance Based External Archive Maintenance Strategynformation entropy of . is analyzed to emphasize the diversity improvement of non-dominant solutions and well-distribution on the Pareto-optimal front. Numerical experiments of benchmark functions demonstrate the effectiveness and efficiency of proposed multi-objective particle swarm optimization.作者: 抱狗不敢前 時(shí)間: 2025-4-1 08:14 作者: TAG 時(shí)間: 2025-4-1 13:20 作者: Parley 時(shí)間: 2025-4-1 15:10
