標題: Titlebook: Bio-inspired Computing: Theories and Applications; 14th International C Linqiang Pan,Jing Liang,Boyang Qu Conference proceedings 2020 Sprin [打印本頁] 作者: mature 時間: 2025-3-21 17:12
書目名稱Bio-inspired Computing: Theories and Applications影響因子(影響力)
書目名稱Bio-inspired Computing: Theories and Applications影響因子(影響力)學科排名
書目名稱Bio-inspired Computing: Theories and Applications網(wǎng)絡(luò)公開度
書目名稱Bio-inspired Computing: Theories and Applications網(wǎng)絡(luò)公開度學科排名
書目名稱Bio-inspired Computing: Theories and Applications被引頻次
書目名稱Bio-inspired Computing: Theories and Applications被引頻次學科排名
書目名稱Bio-inspired Computing: Theories and Applications年度引用
書目名稱Bio-inspired Computing: Theories and Applications年度引用學科排名
書目名稱Bio-inspired Computing: Theories and Applications讀者反饋
書目名稱Bio-inspired Computing: Theories and Applications讀者反饋學科排名
作者: 減震 時間: 2025-3-21 21:49 作者: insolence 時間: 2025-3-22 04:18 作者: 統(tǒng)治人類 時間: 2025-3-22 08:00
Adaptive Brain Storm Optimization Based on Learning Automatadate of the selection probabilities of candidate strategies is not fixed but learned from the evolution process by the learning automaton. Experimental results on a set of CEC2017 benchmark functions have verified the outstanding performance of LABSO in comparison with several representative BSO var作者: Optometrist 時間: 2025-3-22 12:00 作者: 孤獨無助 時間: 2025-3-22 14:38
An Improved Pigeon-Inspired Optimization Combining Adaptive Inertia Weight with a One-Dimension Modiion modification, enhancing the ability to explore the search space. Comprehensive experimental results indicates that the proposed PIO outperforms the basic PIO, the other improved PIO and other improved SI methods in terms of the quality of the solution.作者: synovitis 時間: 2025-3-22 20:29 作者: optional 時間: 2025-3-23 00:11 作者: 失眠癥 時間: 2025-3-23 02:19
The Queen of the Jungle Goes Headhunting,s paper, five benchmark functions are used to evaluate the search performance of EDBSO algorithm. In order to verify the convergence and accuracy of the EDBSO algorithm, the EDBSO algorithm is compared with 4 improved algorithm in different dimensions. The simulation results show that the EDBSO algo作者: Decimate 時間: 2025-3-23 07:02
,Charlotte Bront? Life and Background,quations effectively, and the results are more competitive than those obtained by the traditional algorithms. Meanwhile, the convergence speed of RDE algorithm is also very fast. This preliminary study may provide a new method for solving ecological control problem.作者: Creatinine-Test 時間: 2025-3-23 12:10 作者: Servile 時間: 2025-3-23 15:15
Janelle Monáe’s "Dirty Computer"date of the selection probabilities of candidate strategies is not fixed but learned from the evolution process by the learning automaton. Experimental results on a set of CEC2017 benchmark functions have verified the outstanding performance of LABSO in comparison with several representative BSO var作者: insolence 時間: 2025-3-23 18:44
Die T-Zell-vermittelte Immunit?tinated and keep the positions with good values so that the convergence speed is increased. Compared with original BFO, GA, BFOLIW and BFONIW, AF-GBFO outperforms in most cases especially for the multimodal functions.作者: colloquial 時間: 2025-3-23 22:49 作者: atrophy 時間: 2025-3-24 04:15 作者: 宣誓書 時間: 2025-3-24 07:18
https://doi.org/10.1007/978-3-319-04861-1ved roulette selection strategy based on evolutionary stability principle and apply it to the process of bacterial reproduction. The experiments are performed on eight benchmark functions to compare with the performance of LIRBFO, Bacterial Foraging Optimization with Levy Flight chemotaxis step size作者: SPASM 時間: 2025-3-24 11:43
Jane Austen‘s Possessions and Dispossessionstorial optimization problems have been solved by the ant colony optimization algorithm. Firstly, the basic principles of ant colony algorithm are first introduced by this reference. Secondly, it briefs several improvements method of ant colony algorithm and the application in solving practical probl作者: Progesterone 時間: 2025-3-24 18:07
,,: Jane’s Most Daring Exploit,ion tasks in a cooperative manner. In EMTO, the knowledge transfer between tasks is mainly carried out through the assortative mating and selective imitation operators. However, in the literature of EMTO, little study on the selective imitation operator has yet been done to provide a deeper insight 作者: CLEAR 時間: 2025-3-24 19:51
The Queen of the Jungle Goes Headhunting,nd large-scale optimization problems. However, when the BSO algorithm deals with the complex problems, there are still some disadvantages, such as the slow speed of the search algorithm for the late, premature convergence and easy to fall into local optimal solutions and so on. In order to solve the作者: CURL 時間: 2025-3-24 23:59
,Charlotte Bront? Life and Background,odels are expressed by impulse control equations, and which can be transformed into a global optimization problem. But it is easy to fall into local optimal when solving these equations by traditional method. On the other hand, differential evolution (DE) algorithm has been widely used to solve a va作者: Insensate 時間: 2025-3-25 05:49 作者: Buttress 時間: 2025-3-25 08:09
https://doi.org/10.1057/978-1-137-39614-3tation, electric vehicle (EV) can not only save energy, but also protect the environment. However, the large-scale development of EVs will increase the load pressure on the power grid. Therefore, in order to deal with the rapid development of wind power and EVs, a multi-objective dynamic economic em作者: JEER 時間: 2025-3-25 13:20 作者: 錯事 時間: 2025-3-25 16:34
Reclamation: Beyond Racial Capitalism,mproved ant colony algorithm is proposed in this paper. In the proposed algorithm, the upper bound of path nodes is adjusted and the grid map mode is integrated. The upper bound of nodes are adjusted for driving the optimization process of algorithm. Experiment simulation is carried out based on two作者: GLUT 時間: 2025-3-25 23:31 作者: 船員 時間: 2025-3-26 04:02
https://doi.org/10.1007/978-3-662-56004-4s, kurtosis, and entropy) model to replace the classical Markowitz mean-variance model for finding better portfolio selection. To obtain a more accurate estimation of risk asset returns, a fuzzy number variable, instead of a random variable, based on the acknowledge of experts is used to estimate th作者: 詞匯記憶方法 時間: 2025-3-26 07:26
Die T-Zell-vermittelte Immunit?t problems. Facing these disadvantages, a new hybrid algorithm for BFO based on Artificial Fish Swarm Algorithm (AFSA) and Gaussian disturbance is proposed, abbreviated as AF-GBFO. The algorithm combines following and swarming behaviors in AFSA with the chemotaxis part of BFO so that bacteria can upd作者: 精密 時間: 2025-3-26 12:12 作者: sparse 時間: 2025-3-26 13:26
Die T-Zell-vermittelte Immunit?tg for effective utilization on energy. However, existing studies are most directed to single micro-grid based IES without considering energy exchange among several micro-grids and the corresponding high-dimensional dispatching models. Motivated by these, we here consider an IES with many micro-grids作者: V洗浴 時間: 2025-3-26 18:27 作者: 不給啤 時間: 2025-3-26 21:30 作者: hedonic 時間: 2025-3-27 01:37
Exploring into the Essence of Eventsinput data representation, the huge number of parameters and the complex layer relationships. To overcome the obstacles of architecture design, we developed a new method to generate the optimal structure of DNNs, named Evolutionary Strategy-based Architecture Evolution (ESAE), consisting of a bi-lev作者: Counteract 時間: 2025-3-27 05:48 作者: JADED 時間: 2025-3-27 09:32
https://doi.org/10.1007/978-3-319-04861-1 novel BFO combined with Levy Flight and an improved Roulette Wheel Selection (LIRBFO). Due to the chemotaxis step length of the original BFO is set as a constant value. There is no balance between global search and local search. This restricts the application of BFO to tackle complex optimization p作者: thrombus 時間: 2025-3-27 16:07 作者: 桉樹 時間: 2025-3-27 20:01 作者: indecipherable 時間: 2025-3-27 22:39
978-981-15-3424-9Springer Nature Singapore Pte Ltd. 2020作者: 豐滿有漂亮 時間: 2025-3-28 06:09 作者: HIKE 時間: 2025-3-28 07:12 作者: SIT 時間: 2025-3-28 12:53
Experimental Analysis of Selective Imitation for Multifactorial Differential Evolutionion tasks in a cooperative manner. In EMTO, the knowledge transfer between tasks is mainly carried out through the assortative mating and selective imitation operators. However, in the literature of EMTO, little study on the selective imitation operator has yet been done to provide a deeper insight 作者: prosthesis 時間: 2025-3-28 15:10
Brain Storm Optimization Algorithm with Estimation of Distributionnd large-scale optimization problems. However, when the BSO algorithm deals with the complex problems, there are still some disadvantages, such as the slow speed of the search algorithm for the late, premature convergence and easy to fall into local optimal solutions and so on. In order to solve the作者: 休閑 時間: 2025-3-28 22:27 作者: 路標 時間: 2025-3-29 01:49
Microgrid Frequency Control Based on Genetic and Fuzzy Logic Hybrid Optimizationation of microgrid, are affected directly by the frequency. Most modern microgrid contains a large number of intermittent renewable energy generation, this generation units have small capacity, many quantity, larger environmental and user load disturbance, strong nonlinear and unpredictable. The tra作者: 飲料 時間: 2025-3-29 05:23
Using Multi-objective Particle Swarm Optimization to Solve Dynamic Economic Emission Dispatch Considtation, electric vehicle (EV) can not only save energy, but also protect the environment. However, the large-scale development of EVs will increase the load pressure on the power grid. Therefore, in order to deal with the rapid development of wind power and EVs, a multi-objective dynamic economic em作者: Somber 時間: 2025-3-29 07:40
Evolutionary Optimization of Three-Degree Influence Spread in Social Networks Based on Discrete Bact influence spread invoked by the k nodes in the network is maximized. The traditional approaches for resolving influence maximization, including Greedy, Distance, DegreeDiscount and PageRank, usually suffer from several drawbacks, such as high computational cost and unstable accuracy. In this paper,作者: STYX 時間: 2025-3-29 11:38
Ant Colony Algorithm Based on Upper Bound of Nodes for Robot Path Planning Problemsmproved ant colony algorithm is proposed in this paper. In the proposed algorithm, the upper bound of path nodes is adjusted and the grid map mode is integrated. The upper bound of nodes are adjusted for driving the optimization process of algorithm. Experiment simulation is carried out based on two作者: Outshine 時間: 2025-3-29 16:33
Adaptive Brain Storm Optimization Based on Learning Automatainal BSO may suffer from getting trapped into local optima, due to its fixed search pattern and fixed step-size disturbance mode. Aiming to address this issue, this paper proposes Adaptive Brain Storm Optimization Based on Learning Automata called LABSO to resolve complex optimization problems. The 作者: 未完成 時間: 2025-3-29 20:06
A Reference Point-Based Evolutionary Algorithm for Many-Objective Fuzzy Portfolio Selections, kurtosis, and entropy) model to replace the classical Markowitz mean-variance model for finding better portfolio selection. To obtain a more accurate estimation of risk asset returns, a fuzzy number variable, instead of a random variable, based on the acknowledge of experts is used to estimate th作者: anniversary 時間: 2025-3-30 02:55 作者: Soliloquy 時間: 2025-3-30 07:31 作者: 古代 時間: 2025-3-30 10:35 作者: 全部 時間: 2025-3-30 14:50
Multiobjective Particle Swarm Optimization with Directional Search for Distributed Permutation Flow to the actual situation of industrial production and has important research significance. In this paper, a multiobjective particle swarm optimization with directional search (MoPSO-DS) is proposed to solve DPFSP. Directional search strategy are inspired by decomposition. Firstly, MoPSO-DS divides th作者: antiandrogen 時間: 2025-3-30 20:14 作者: 拔出 時間: 2025-3-31 00:36 作者: Nmda-Receptor 時間: 2025-3-31 03:06
Species-Based Differential Evolution with Migration for Multimodal Optimizationn this paper, a Species-based differential evolution with migration algorithm is proposed for MMOPs. First, a migration strategy is developed to improve the exploration ability of species with less individuals. Then, an improved operation of creating local individuals is introduced to help the algor作者: 商議 時間: 2025-3-31 05:36
An Enhanced Bacterial Foraging Optimization Based on Levy Flight and Improved Roulette Wheel Selecti novel BFO combined with Levy Flight and an improved Roulette Wheel Selection (LIRBFO). Due to the chemotaxis step length of the original BFO is set as a constant value. There is no balance between global search and local search. This restricts the application of BFO to tackle complex optimization p作者: thrombus 時間: 2025-3-31 12:46 作者: MELON 時間: 2025-3-31 17:07 作者: 有害 時間: 2025-3-31 18:13 作者: Basal-Ganglia 時間: 2025-3-31 23:48
Allergien und allergische Erkrankungengorithm II (NSGAII). Thereafter, the improved algorithm is applied to three typical EEEM for multi-energy ship with different combinations of power generation devices. The efficiency of the algorithm is verified and the simulation results obtained can meet the navigation speed requirements as well as reduce the operation cost and?emissions.作者: 馬具 時間: 2025-4-1 04:08 作者: 路標 時間: 2025-4-1 07:23
Allergien und allergische Erkrankungenections which speed up the convergence of the particles while ensuring good distribution performance. In this paper, MoPSO-DS is compared with the NAGA-II, SPEA2, MoPSO, MOEA/D, and MOHEA algorithms. Experimental results show that the performance of MoPSO-DS is better.作者: 為寵愛 時間: 2025-4-1 10:11 作者: occurrence 時間: 2025-4-1 16:56
Microgrid Frequency Control Based on Genetic and Fuzzy Logic Hybrid Optimizationize the input and output fuzzy triangular membership function parameters. Second, fuzzy logic is used to optimize PI controller parameter to achieve the optimal control of the microgrid system frequency. The effectiveness of the two stage combination intelligent control algorithm is validated by the MATLAB simulation experiment.
