標(biāo)題: Titlebook: Advances in Swarm and Computational Intelligence; 6th International Co Ying Tan,Yuhui Shi,Andries Engelbrecht Conference proceedings 2015 S [打印本頁(yè)] 作者: Scuttle 時(shí)間: 2025-3-21 18:31
書目名稱Advances in Swarm and Computational Intelligence影響因子(影響力)
書目名稱Advances in Swarm and Computational Intelligence影響因子(影響力)學(xué)科排名
書目名稱Advances in Swarm and Computational Intelligence網(wǎng)絡(luò)公開度
書目名稱Advances in Swarm and Computational Intelligence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Swarm and Computational Intelligence被引頻次
書目名稱Advances in Swarm and Computational Intelligence被引頻次學(xué)科排名
書目名稱Advances in Swarm and Computational Intelligence年度引用
書目名稱Advances in Swarm and Computational Intelligence年度引用學(xué)科排名
書目名稱Advances in Swarm and Computational Intelligence讀者反饋
書目名稱Advances in Swarm and Computational Intelligence讀者反饋學(xué)科排名
作者: bourgeois 時(shí)間: 2025-3-22 00:08 作者: hidebound 時(shí)間: 2025-3-22 03:19 作者: 表狀態(tài) 時(shí)間: 2025-3-22 04:49
Gerhard Preyer,Georg Peter,Maria Ulkan of car bodies, ship hulls, airplane fuselage), computer graphics and animation, medicine, and many others. Although polynomial blending functions are usually applied to solve this problem, some shapes cannot yet be adequately approximated by using this scheme. In this paper we address this issue by作者: 暗諷 時(shí)間: 2025-3-22 12:33 作者: 仇恨 時(shí)間: 2025-3-22 14:42
Gerhard Preyer,Georg Peter,Maria Ulkanin the elemental stiffness parameter of the structural finite element model. The damage parameters are determined by minimizing the error derived from modal data, and natural frequency and modal assurance criteria (MAC) of mode shape is employed to formulate the objective function. The BMO algorithm作者: 展覽 時(shí)間: 2025-3-22 19:36
https://doi.org/10.1057/9780230596375 principle of FA is introduced, some key parameters, such as light intensity, attractiveness, and rules of attraction are defined. The moving forces-induced responses of damage structures are defined as a function of both damage factors and moving forces. By minimizing the difference between the rea作者: 經(jīng)典 時(shí)間: 2025-3-22 21:37 作者: Factual 時(shí)間: 2025-3-23 02:37 作者: Bravado 時(shí)間: 2025-3-23 08:44 作者: incredulity 時(shí)間: 2025-3-23 09:58
Antecedents of Non-Provocative Defencethod does not need essential effort for its adjustment to the problem in hand but demonstrates high performance. This algorithm is compared with a sequential two-level genetic algorithm, a multi-population parallel genetic algorithm and a self-configuring genetic algorithm as well as with two proble作者: 漫不經(jīng)心 時(shí)間: 2025-3-23 15:07
Asymptotic Relative Efficiency,nalyses the reasons leading to the loss of swarm diversity by computing and analyzing of the probabilistic characteristics of the learning factors in PSO. It also provides the relationship between the loss of swarm diversity and the probabilistic distribution and dependence of learning parameters. E作者: 蘆筍 時(shí)間: 2025-3-23 22:03
Two-Sample Rank Procedures for Location, First, the expectation of Gaussian distribution in the updating equation is controlled by an adaptive factor, which makes particles emphasize on the exploration in earlier stage and the convergence in later stage. Second, SLBBPSO adopts a novel mutation to the personal best position (.) and the glo作者: 來(lái)自于 時(shí)間: 2025-3-24 02:04 作者: ILEUM 時(shí)間: 2025-3-24 03:08
https://doi.org/10.1007/978-1-4612-2280-4al damage detection (SDD). The improved NMA chooses parts of subplanes of the .-simplex for optimization, a two-step method uses modal strain energy based index (MSEBI) to locate damage firstly, and both of them can reduce the computational cost of the basic PSO-Nelder-Mead (PSO-NM). An index of sol作者: micronutrients 時(shí)間: 2025-3-24 08:18 作者: 退潮 時(shí)間: 2025-3-24 12:12 作者: 貞潔 時(shí)間: 2025-3-24 17:36
Social media as influence factor of qualityhes the border of the objective space unlike other current proposals to look for the Pareto solution set to solve such problems. In addition, we apply the proposed method to other particle swarm optimization variants, which indicates the strategy is highly applicatory. The proposed approach is valid作者: palpitate 時(shí)間: 2025-3-24 21:29 作者: 甜食 時(shí)間: 2025-3-25 00:12
Utilizing Abstract Phase Spaces in Swarm Design and ValidationWe introduce a swarm design methodology. The methodology uses a seven step process involving a high-level phase space to map the desired goal to a set of behaviors, castes, deployment schedules, and provably optimized strategies. We illustrate the method on the stick-pulling task.作者: 畫布 時(shí)間: 2025-3-25 07:12
https://doi.org/10.1007/978-3-319-20466-6Algorithms; Ant colony optimization; Big data; Biologically inspired algorithms; Cellular automata; Cloud作者: 間諜活動(dòng) 時(shí)間: 2025-3-25 07:38
978-3-319-20465-9Springer International Publishing Switzerland 2015作者: 印第安人 時(shí)間: 2025-3-25 12:56
Advances in Swarm and Computational Intelligence978-3-319-20466-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 解開 時(shí)間: 2025-3-25 19:03
Effects of Topological Variations on Opinion Dynamics Optimizerroblems. In this paper, we have studied the impact of topology and introduction of leaders in the society on the optimization performance of CODO. We have introduced three new variants of CODO and studied the efficacy of algorithms on several benchmark functions. Experimentation demonstrates that sc作者: 甜得發(fā)膩 時(shí)間: 2025-3-25 23:16
Memetic Electromagnetism Algorithm for Finite Approximation with Rational Bézier Curves of car bodies, ship hulls, airplane fuselage), computer graphics and animation, medicine, and many others. Although polynomial blending functions are usually applied to solve this problem, some shapes cannot yet be adequately approximated by using this scheme. In this paper we address this issue by作者: semble 時(shí)間: 2025-3-26 00:43 作者: 重疊 時(shí)間: 2025-3-26 07:15
Bird Mating Optimizer in Structural Damage Identificationin the elemental stiffness parameter of the structural finite element model. The damage parameters are determined by minimizing the error derived from modal data, and natural frequency and modal assurance criteria (MAC) of mode shape is employed to formulate the objective function. The BMO algorithm作者: orthopedist 時(shí)間: 2025-3-26 09:09 作者: anthropologist 時(shí)間: 2025-3-26 14:45
Unit Commitment with Electric Vehicles Based on an Improved Harmony Search AlgorithmV is formulated, which includes constraints of power balance, spinning reserve, minimum up-down time, generation limits and EV limits. An improved harmony search, namely NPAHS-M, is proposed for UC problem with vehicle-to-grid (V2G) technology. This method contains a new pitch adjustment which can e作者: 臭名昭著 時(shí)間: 2025-3-26 17:56
A ,-Inspired Vacant-Particle Model with Shrinkage for Transport Network Designcaptures the relationship between the movement of . and the process of network formation, can construct a network with a good balance between exploration and exploitation. In this paper, the VP-S model is applied to design a transport network. We compare the performance of the network designed based作者: Coeval 時(shí)間: 2025-3-26 21:33
Bean Optimization Algorithm Based on Negative Binomial Distributionroposed many nature-inspired optimization algorithms. When solving some complex problems which cannot be solved by the traditional optimization algorithms easily, the nature-inspired optimization algorithms have their unique advantages. Inspired by the transmission mode of seeds, a novel evolutionar作者: hieroglyphic 時(shí)間: 2025-3-27 02:43
On the Application of Co-Operative Swarm Optimization in the Solution of Crystal Structures from X-Rthod does not need essential effort for its adjustment to the problem in hand but demonstrates high performance. This algorithm is compared with a sequential two-level genetic algorithm, a multi-population parallel genetic algorithm and a self-configuring genetic algorithm as well as with two proble作者: Paradox 時(shí)間: 2025-3-27 08:24
Swarm Diversity Analysis of Particle Swarm Optimizationnalyses the reasons leading to the loss of swarm diversity by computing and analyzing of the probabilistic characteristics of the learning factors in PSO. It also provides the relationship between the loss of swarm diversity and the probabilistic distribution and dependence of learning parameters. E作者: capsaicin 時(shí)間: 2025-3-27 10:19
A Self-learning Bare-Bones Particle Swarms Optimization Algorithm First, the expectation of Gaussian distribution in the updating equation is controlled by an adaptive factor, which makes particles emphasize on the exploration in earlier stage and the convergence in later stage. Second, SLBBPSO adopts a novel mutation to the personal best position (.) and the glo作者: 廣口瓶 時(shí)間: 2025-3-27 17:02
Improved DPSO Algorithm with Dynamically Changing Inertia Weightptimization algorithm and improve the optimization accuracy and stability of standard PSO algorithm. However, the accuracy of DPSO for solving the multi peak function will be obviously decreased. To solve the problem, we introduce the linearly decreasing inertia weight strategy and the adaptively ch作者: 粘 時(shí)間: 2025-3-27 20:36 作者: FID 時(shí)間: 2025-3-27 23:32
A Fully-Connected Micro-extended Analog Computers Array Optimized by Particle Swarm Optimizermatical model and two uEAC extensions with minus-feedback and multiplication-feedback, respectively. Then a fully-connected uEACs array is proposed to enhance the computational capability, and to get an optimal uEACs array structure for specific problems, a comprehensive optimization strategy based 作者: 聽寫 時(shí)間: 2025-3-28 04:54
A Population-Based Clustering Technique Using Particle Swarm Optimization and K-Means. However, the performance of these hybrid clustering methods have not been extensively analyzed and compared with other competitive clustering algorithms. In the paper, five existing PSOs, which have shown promising performance for continuous function optimization, are hybridized separately with K-作者: moratorium 時(shí)間: 2025-3-28 08:49
A Novel Boundary Based Multiobjective Particle Swarm Optimizationhes the border of the objective space unlike other current proposals to look for the Pareto solution set to solve such problems. In addition, we apply the proposed method to other particle swarm optimization variants, which indicates the strategy is highly applicatory. The proposed approach is valid作者: prolate 時(shí)間: 2025-3-28 10:38 作者: 使顯得不重要 時(shí)間: 2025-3-28 16:37
The Basics of Object-Oriented Programming,rsity-PSO, AWDPSO). Three representative benchmark test functions are used to test and compare proposed methods, which are LWDPSO and AWDPSO, with state-of-the-art approaches. Experimental results show that proposed methods can provide the higher optimization accuracy and much faster convergence speed.作者: Exclude 時(shí)間: 2025-3-28 20:49 作者: 惡意 時(shí)間: 2025-3-29 02:04
Structural Damage Detection and Moving Force Identification Based on Firefly Algorithmm subjected to moving forces is taken as an example for numerical simulations. The illustrated results show that the method can simultaneously identify the structural damages and moving forces with a good accuracy and better robustness to noise.作者: phlegm 時(shí)間: 2025-3-29 04:45 作者: Mast-Cell 時(shí)間: 2025-3-29 09:37 作者: 公司 時(shí)間: 2025-3-29 11:57 作者: 討人喜歡 時(shí)間: 2025-3-29 18:50 作者: Creatinine-Test 時(shí)間: 2025-3-29 19:58 作者: 過(guò)渡時(shí)期 時(shí)間: 2025-3-30 02:43
Social media as influence factor of quality the proposed method to other particle swarm optimization variants, which indicates the strategy is highly applicatory. The proposed approach is validated using several classic test functions, and the experiment results show efficiency in the convergence performance and the distribution of the Pareto optimal solutions.作者: ALIBI 時(shí)間: 2025-3-30 06:35
Effects of Topological Variations on Opinion Dynamics Optimizerhave introduced three new variants of CODO and studied the efficacy of algorithms on several benchmark functions. Experimentation demonstrates that scale free CODO performs significantly better than all algorithms. Also, the role played by individuals with different degrees during the optimization process is studied.作者: HAWK 時(shí)間: 2025-3-30 11:26 作者: 形容詞詞尾 時(shí)間: 2025-3-30 12:43
A Novel Boundary Based Multiobjective Particle Swarm Optimization the proposed method to other particle swarm optimization variants, which indicates the strategy is highly applicatory. The proposed approach is validated using several classic test functions, and the experiment results show efficiency in the convergence performance and the distribution of the Pareto optimal solutions.作者: 季雨 時(shí)間: 2025-3-30 18:22
Gerhard Preyer,Georg Peter,Maria Ulkan is adopted to optimize the objective and optimum set of stiffness reduction parameters are predicted. The results show that the BMO can identify the perturbation of the stiffness parameters effectively even under measurement noise.作者: 抗體 時(shí)間: 2025-3-31 00:31
The End of the Cold War in Europenhance the diversity of newly generated harmony and provide a better searching guidance. Simulation results show that EVs can reduce the running cost effectively and NPAHS-M can achieve comparable results compared with the methods in literatures.作者: overbearing 時(shí)間: 2025-3-31 03:00
Antecedents of Non-Provocative Defencem specific approaches. It is demonstrated on a special crystal structure with 7 atoms and 21 degrees of freedom on which the co-operative swarm optimization algorithm exhibits comparative reliability but works faster than other used algorithms. Perspective directions for improving the approach are discussed.作者: BRIEF 時(shí)間: 2025-3-31 06:33
Asymptotic Relative Efficiency,xperimental results show that the swarm diversity analysis is reasonable and the proposed strategies for maintaining swarm diversity are effective. The conclusions of the swarm diversity of PSO can be used to design PSO algorithm and improve its effectiveness. It is also helpful for understanding the working mechanism of PSO theoretically.作者: Catheter 時(shí)間: 2025-3-31 12:38
Two-Sample Rank Procedures for Location,bal best position (.), which helps the algorithm jump out of the local optimum. Finally, when particles are in the stagnant status, the variance of Gaussian distribution is assigned an adaptive value. Simulations show that SLBBPSO has excellent optimization ability in the classical benchmark functions.作者: 到婚嫁年齡 時(shí)間: 2025-3-31 16:29 作者: 露天歷史劇 時(shí)間: 2025-3-31 17:48
Conference proceedings 2015gence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015. The 161 revised full papers presented were carefully reviewed and selected from 294 submissions. The papers are organized in 28 cohesive sections covering作者: Arrhythmia 時(shí)間: 2025-4-1 00:59
Bird Mating Optimizer in Structural Damage Identification is adopted to optimize the objective and optimum set of stiffness reduction parameters are predicted. The results show that the BMO can identify the perturbation of the stiffness parameters effectively even under measurement noise.作者: 輕彈 時(shí)間: 2025-4-1 05:09
