標(biāo)題: Titlebook: Bio-Inspired Computing: Theories and Applications; 18th International C Linqiang Pan,Yong Wang,Jianqing Lin Conference proceedings 2024 The [打印本頁] 作者: incontestable 時間: 2025-3-21 19:25
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(xué)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(xué)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(xué)科排名
書目名稱Bio-Inspired Computing: Theories and Applications年度引用
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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(xué)科排名
作者: 使閉塞 時間: 2025-3-21 20:26
https://doi.org/10.1007/978-3-322-90634-2sed evolutionary multi-task optimization algorithm (TLEMTO). To validate the effectiveness of the proposed algorithm, the experiment is conducted on CEC17 multi-task optimization problem benchmarks, the results show that TLEMTO is superior to the compared state-of-the-art algorithms.作者: 拍下盜公款 時間: 2025-3-22 03:34 作者: 妨礙 時間: 2025-3-22 08:19
https://doi.org/10.1007/978-3-642-16361-6hod has better performance and robustness in multi-target UAV path planning, and can effectively find high-quality non-inferior solution sets, which provides an effective solution for UAV path planning.作者: SKIFF 時間: 2025-3-22 09:30
Das transformative Menschenbild der Bibelh-quality starting point to generate excellent solutions quickly for each subproblem. Both strategies promote the effectiveness and efficiency of the proposed method. After new solutions are generated, a selection operator keeps the historical optimal solution for each subproblem. We apply our metho作者: Perineum 時間: 2025-3-22 15:32 作者: 不適 時間: 2025-3-22 21:06 作者: Angiogenesis 時間: 2025-3-23 00:27
Der Elementargedanke in der Medizin,olutions. Experimental results on both benchmark and real-world SMOPs have shown that the proposed algorithm has significant advantages in comparison with the state-of-the-art evolutionary algorithms.作者: 一個姐姐 時間: 2025-3-23 03:16 作者: 服從 時間: 2025-3-23 08:47
Das Menschenbild in der Softwareentwicklung,ove the distribution of the initial population in the new environment. The second strategy is the classification prediction strategy. Firstly, the CCMO is employed to obtain a feasible priority population and an unconstrained population. Then, prediction is performed separately on each population, w作者: Pedagogy 時間: 2025-3-23 12:51 作者: 時代錯誤 時間: 2025-3-23 15:55
Berichte des German Chapter of the ACMigh-quality filaments and reduce energy consumption while reducing the switching cost of solutions. Experimental results show that DCMOEA-ND can obtain Pareto optimal set (POS) with better convergence and distribution, and the robust solutions obtained by DCROOT have better performance than other al作者: Conquest 時間: 2025-3-23 19:27
https://doi.org/10.1007/978-3-322-87094-0e also a number of local optima in the search space. In addition, the CEC2013 test set contains composition functions that mix different characteristics of various basic functions, causing the search space to have a huge quantity of local optima and is very complex. Experimental results demonstrate 作者: 煞費(fèi)苦心 時間: 2025-3-24 00:46 作者: Hiatal-Hernia 時間: 2025-3-24 05:52 作者: interlude 時間: 2025-3-24 07:04
Transfer Learning-Based Evolutionary Multi-task Optimizationsed evolutionary multi-task optimization algorithm (TLEMTO). To validate the effectiveness of the proposed algorithm, the experiment is conducted on CEC17 multi-task optimization problem benchmarks, the results show that TLEMTO is superior to the compared state-of-the-art algorithms.作者: 愚笨 時間: 2025-3-24 14:06
A Surrogate-Based Optimization Method for?Solving Economic Emission Dispatch Problems with?Green Cerons. On the other hand, a modified multi-objective gray wolf optimizer (MOGWO) is proposed to execute EED optimization accurately and quickly. This algorithm improves the search ability and convergence of the original MOGWO algorithm through improving the position update strategy and introducing the作者: 無能力之人 時間: 2025-3-24 14:59
MODMOA: A Novel Multi-objective Optimization Algorithm for Unmanned Aerial Vehicle Path Planninghod has better performance and robustness in multi-target UAV path planning, and can effectively find high-quality non-inferior solution sets, which provides an effective solution for UAV path planning.作者: 難取悅 時間: 2025-3-24 20:54 作者: Receive 時間: 2025-3-25 01:27 作者: 比目魚 時間: 2025-3-25 03:39
Difference Vector Angle Dominance with?an?Angle Threshold for?Expensive Multi-objective Optimizationstly give the definition of DVAD-. that measures the superiority from one solution to another solution, where the angle threshold . controls the selection pressure. Then, we propose an adaptive determination strategy of angle threshold based on bisection to set proper pressure for picking out promis作者: 不能妥協(xié) 時間: 2025-3-25 08:18 作者: CHOIR 時間: 2025-3-25 13:01
An Improved MOEA/D with?Pareto Frontier Individual Selection Based on?Weight Vector Anglesace, ensuring the preservation of desired diversity across the evolutionary trajectory. Such an adaptation strikes a more refined balance between convergence and diversity, especially in the realm of high-dimensional multi-objective optimization. Experimental validations suggest that our proposed al作者: 補(bǔ)助 時間: 2025-3-25 18:15
A Hybrid Response Strategy for?Dynamic Constrained Multi-objective Optimizationove the distribution of the initial population in the new environment. The second strategy is the classification prediction strategy. Firstly, the CCMO is employed to obtain a feasible priority population and an unconstrained population. Then, prediction is performed separately on each population, w作者: exostosis 時間: 2025-3-25 21:21 作者: vitrectomy 時間: 2025-3-26 01:32
Dynamic Constrained Robust Optimization over?Time for?Operational Indices of?Pre-oxidation Processigh-quality filaments and reduce energy consumption while reducing the switching cost of solutions. Experimental results show that DCMOEA-ND can obtain Pareto optimal set (POS) with better convergence and distribution, and the robust solutions obtained by DCROOT have better performance than other al作者: TIA742 時間: 2025-3-26 06:53
Comparison of CLPSO, ECLPSO and ACLPSO on CEC2013 Multimodal Benchmark Functionse also a number of local optima in the search space. In addition, the CEC2013 test set contains composition functions that mix different characteristics of various basic functions, causing the search space to have a huge quantity of local optima and is very complex. Experimental results demonstrate 作者: 神刊 時間: 2025-3-26 12:30
A Non Dominant Sorting Algorithm with?Dual Population Dynamic Collaborationd population having a larger size and utilizing local search to explore the feasible domain. Additionally, we propose a non-dominated criterion sorting method to select better individuals, adjusting the non-dominated level based on the proportion of feasible solutions in the input population. Experi作者: 投票 時間: 2025-3-26 13:33
Bio-Inspired Computing: Theories and Applications978-981-97-2272-3Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 諷刺滑稽戲劇 時間: 2025-3-26 17:02
https://doi.org/10.1007/978-981-97-2272-3artificial intelligence; machine learning; bio-inspired computing; neural networks; brain-inspired compu作者: 痛打 時間: 2025-3-26 22:01
978-981-97-2271-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: 訓(xùn)誡 時間: 2025-3-27 03:41
Communications in Computer and Information Sciencehttp://image.papertrans.cn/b/image/186346.jpg作者: dysphagia 時間: 2025-3-27 06:18
Gesten bei Tieren und bei Kindern,heduling tasks in a multi-cloud environment provides users with faster scheduling options. Meanwhile, there is a certain similarity between cloud scheduling tasks, and in order not to waste the similarity between tasks, similar tasks are linked together to find an optimal scheduling solution for mul作者: reptile 時間: 2025-3-27 12:48
https://doi.org/10.1007/978-3-322-90634-2ips by leveraging shared information and features, thereby improving model performance. Evolutionary transfer optimization (ETO), applied to address multi-task problems using evolutionary algorithms, incorporates the principles of transfer learning. It utilizes knowledge and experience from source t作者: 聯(lián)想記憶 時間: 2025-3-27 15:15
https://doi.org/10.1007/978-3-322-90634-2d. Therefore, the decision of economic emission dispatch (EED) problems is particularly important. In this paper, to incentivize renewable energy generation, the green certificate trading mechanism is introduced to solve from the economic level. However, as the dimensions of the EED problems are inc作者: PALSY 時間: 2025-3-27 19:29
https://doi.org/10.1007/978-3-642-16361-6mance indicators in the case of considering multiple conflicting objectives, constraints and trade-offs. In order to solve the challenge of considering multiple constraints and responding to environmental changes in real time, we propose a UAV path planning method based on multi-objective dwarf mong作者: 簡潔 時間: 2025-3-27 22:11 作者: 效果 時間: 2025-3-28 02:32
Homo sapiens – vom Tier zum Halbgottng with high-dimensional data, traditional methods often exhibit lower accuracy, posing significant challenges to feature selection. In this paper, we propose a multi-objective hybrid binary balance optimizer algorithm to address this issue. This method integrates the output results of multiple filt作者: 友好關(guān)系 時間: 2025-3-28 08:25 作者: Firefly 時間: 2025-3-28 10:55
Der Elementargedanke in der Medizin,ing multi-objective optimization algorithms (MOEAs) for solving SMOPs, their search granularity keeps the same for all the decision variables, which leads to significant performance deterioration when dealing with SMOPs in high-dimensional decision spaces. To tackle the issue, in this paper, a non-u作者: 失眠癥 時間: 2025-3-28 16:36 作者: 靈敏 時間: 2025-3-28 20:26 作者: 向下五度才偏 時間: 2025-3-29 00:43
,Kunst — Heilmittel der Medizin,proposed. It introduces a novel mutation mode considering search directions is proposed firstly. Secondly, a levy flight strategy is employed to enhance the exploration capability of Differential Evolution (DE). Lastly, the Q-learning method from reinforcement learning is introduced to establish a s作者: 偉大 時間: 2025-3-29 05:14
Der Mensch Ijob redet mit Gott,global search, a hierarchical competitive differential evolution algorithm is proposed. It uniquely incorporates a hierarchical competition mechanism and an adaptive differential mutation strategy based on competition outcomes, substantially enhancing global search. The proposed algorithm benchmarks作者: 精美食品 時間: 2025-3-29 10:04
Das Menschenbild in der Softwareentwicklung,bject to constrained limitations, they become dynamic constrained multi-objective optimization problems (DCMOPs). As the problems become more complex, multi-objective optimization algorithms face greater challenges. In this paper, a hybrid response strategy for dynamic constrained multi-objective op作者: aviator 時間: 2025-3-29 12:53
,Richtig verhandeln – die Harvard Methode,ver time. The challenge in solving DMOPs is how to quickly track the Pareto optimal solution set when the environment changes. Recently, dynamic multi-objective evolutionary algorithms (DMOEAs) combined with transfer learning (TL) have been proven to be promising in solving DMOPs. TL-based DMOEAs sh作者: recession 時間: 2025-3-29 17:04 作者: escalate 時間: 2025-3-29 21:38 作者: 絆住 時間: 2025-3-30 03:02 作者: 震驚 時間: 2025-3-30 06:14 作者: nascent 時間: 2025-3-30 08:43 作者: angiography 時間: 2025-3-30 13:52
Der Mensch Ijob redet mit Gott,y of ToHDE. We evaluated the performance of ToHDE on the IEEE CEC2014 benchmark suite and compared it with six state-of-the-art peer DE variants. The statistical results show that ToHDE is competitive with the compared methods.作者: 大量殺死 時間: 2025-3-30 19:52 作者: fulcrum 時間: 2025-3-30 22:51 作者: instructive 時間: 2025-3-31 01:21 作者: 消毒 時間: 2025-3-31 07:50 作者: ARENA 時間: 2025-3-31 09:24
Multi-objective Biological Survival Optimizer with?Application in?Engineering Problems also evaluated on a suite of benchmark problems with various features and three classical engineering design problems. Simulation comparison results considering different indicators show that MOBSO can generate competitive results compared with other state-of-art optimization techniques.
