標(biāo)題: Titlebook: Advances in Swarm Intelligence, Part II; Second International Ying Tan,Yuhui Shi,Guoyin Wang Conference proceedings 2011 Springer-Verlag Gm [打印本頁] 作者: ACORN 時(shí)間: 2025-3-21 18:59
書目名稱Advances in Swarm Intelligence, Part II影響因子(影響力)
書目名稱Advances in Swarm Intelligence, Part II影響因子(影響力)學(xué)科排名
書目名稱Advances in Swarm Intelligence, Part II網(wǎng)絡(luò)公開度
書目名稱Advances in Swarm Intelligence, Part II網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Swarm Intelligence, Part II被引頻次
書目名稱Advances in Swarm Intelligence, Part II被引頻次學(xué)科排名
書目名稱Advances in Swarm Intelligence, Part II年度引用
書目名稱Advances in Swarm Intelligence, Part II年度引用學(xué)科排名
書目名稱Advances in Swarm Intelligence, Part II讀者反饋
書目名稱Advances in Swarm Intelligence, Part II讀者反饋學(xué)科排名
作者: GULLY 時(shí)間: 2025-3-21 21:13 作者: Gesture 時(shí)間: 2025-3-22 01:21 作者: Anticoagulant 時(shí)間: 2025-3-22 05:41
Superconductivity by Kinetic Energy Saving?,cy. The result of experiment indicates that the algorithm is faster and more efficient than present mining algorithms when extracting frequent neighboring class sets with constraint class set in large spatial database.作者: dictator 時(shí)間: 2025-3-22 10:29
0302-9743 ntrol, other optimization algorithms and applications, data fusion and swarm intelligence, as well as fish school search - foundations and applications.?? .978-3-642-21523-0978-3-642-21524-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: foodstuff 時(shí)間: 2025-3-22 16:42
Conference proceedings 2011election algorithms, pattern recognition methods, intelligent control, other optimization algorithms and applications, data fusion and swarm intelligence, as well as fish school search - foundations and applications.?? .作者: monologue 時(shí)間: 2025-3-22 18:49
Multi-Objective Optimization for Dynamic Single-Machine Schedulingor dynamic single-machine scheduling problem (DSMSP) with job release dates. In MOGEP a fitness assignment scheme, diversity maintaining strategy and elitist strategy are incorporated on the basis of original GEP. Results of simulation experiments show that the MOGEP can construct effective SRs whic作者: Dendritic-Cells 時(shí)間: 2025-3-23 01:10
Research of Pareto-Based Multi-Objective Optimization for Multi-Vehicle Assignment Problem Based on ired to satisfy all constrains and optimize overall criteria. Combined with MOPSO algorithm, a Pareto-based multi-objective model is proposed, which includes not only the time-cost tradeoff, but also a “Constraint-First-Objective-Next” strategy which handles constraints as an additional objective. N作者: 愚笨 時(shí)間: 2025-3-23 01:39
Correlative Particle Swarm Optimization for Multi-objective Problemsomplex problems. In order to improve convergence and diversity of solutions, a correlative particle swarm optimization (CPSO) with disturbance operation is proposed, named MO-CPSO, for dealing with multi-objective problems. MO-CPSO adopts the correlative processing strategy to maintain population di作者: Ankylo- 時(shí)間: 2025-3-23 09:17
A PSO-Based Hybrid Multi-Objective Algorithm for Multi-Objective Optimization Problemsr operator of the genetic algorithm as the particle updating strategy. Second, a propagating mechanism is adopted to propagate the non-dominated archive. Third, a local search heuristic based on scatter search is applied to improve the non-dominated solutions. Computational study shows that the HMOP作者: 絕種 時(shí)間: 2025-3-23 10:50 作者: 樹膠 時(shí)間: 2025-3-23 16:10
A Modified Multi-objective Binary Particle Swarm Optimization Algorithm of them can be used to tackle binary-coded problems. In this paper, a novel modified multi-objective binary PSO (MMBPSO) algorithm is proposed for the better multi-objective optimization performance. A modified updating strategy is developed which is simpler and easier to implement compared with st作者: 流利圓滑 時(shí)間: 2025-3-23 20:44
Improved Multiobjective Particle Swarm Optimization for Environmental/Economic Dispatch Problem in P. Population space evolves with the improved particle swarm optimization strategy. Three kinds of knowledge in belief space, named situational, normative and history knowledge are redefined respectively to accordance with the solution of multi-objective problem. The results of standard test systems 作者: 親屬 時(shí)間: 2025-3-24 01:52 作者: 吝嗇性 時(shí)間: 2025-3-24 03:01 作者: 胖人手藝好 時(shí)間: 2025-3-24 10:07
A Multi-Objective Binary Harmony Search Algorithm the research of multi-objectives HS just begins and no work on binary multi-objectives HS has been reported. This paper presents a multi-objective binary harmony search algorithm (MBHS) for tackling binary-coded multi-objective optimization problems. A modified pitch adjustment operator is used to 作者: 宮殿般 時(shí)間: 2025-3-24 10:44
A Self-organized Approach to Collaborative Handling of Multi-robot Systemson planning graph (AMP-graph) is described for individual movement representations. An individual autonomous motion rule (IAM-rule) based on “free-loose” and “well-distributed load-bearing” preferences is presented. By establishing the simple and effective individual rule model, an ideal handling fo作者: 尾隨 時(shí)間: 2025-3-24 15:20
An Enhanced Formation of Multi-robot Based on A* Algorithm for Data Relay Transmissionsor and compass sensor to execute the tasks of distance measurement, communication and obtaining moving direction. Since there exists data disturbance from Nanotron sensor when there is an obstacle between two robots. Therefore, we embed path planning algorithm information control. The leader robot 作者: 過濾 時(shí)間: 2025-3-24 21:43
WPAN Communication Distance Expansion Method Based on Multi-robot Cooperation Navigationntion and interest in industry and academia. Furthermore, the development of intelligent robots is strongly promoted as a strategic industry. To date, most of the practical and commercial service robots are controlled remotely. The most important technical issue of remote control is wireless communi作者: 釘牢 時(shí)間: 2025-3-25 00:14
Relative State Modeling Based Distributed Receding Horizon Formation Control of Multiple Robot Systemost all receding horizon formation control (RHFC) algorithms. One of them is the huge computational burden due to the complicated nonlinear dynamical optimization, and the other is that most RHFC algorithms use the absolute states directly while relative states between two robots are more accurate 作者: angiography 時(shí)間: 2025-3-25 06:47 作者: recede 時(shí)間: 2025-3-25 07:40
Impulsive Consensus in Networks of Multi-agent Systems with Any Communication Delaysd dynamical systems, a simple impulsive consensus protocol for such networks is proposed, and a generic criterion for solving the average consensus problem is analytically derived. Compared with some existing works, a distinctive feature of this work is to address average consensus problem for netwo作者: 平息 時(shí)間: 2025-3-25 14:57
FDClust: A New Bio-Inspired Divisive Clustering Algorithminspired divisive clustering algorithm FDClust (Artificial Fish based Divisive Clustering algorithm). FDClust takes inspiration from the social organization and the encounters of fish shoals. In this algorithm, each artificial fish (agents) is identified with one object to be clustered. Agents move 作者: 過去分詞 時(shí)間: 2025-3-25 17:02
Mining Class Association Rules from Dynamic Class Coupling Data to Measure Class Reusability Patternention to the measurement of reusability. There is a tremendous scope of using various data mining techniques in identifying set of software components having more dependency amongst each other, making each of them less reusable in isolation. For object-oriented development paradigm, class coupling 作者: Coronation 時(shí)間: 2025-3-25 23:30 作者: 碌碌之人 時(shí)間: 2025-3-26 03:27
Advances in Swarm Intelligence, Part II978-3-642-21524-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 傲慢物 時(shí)間: 2025-3-26 06:36 作者: 過分 時(shí)間: 2025-3-26 09:46 作者: DRAFT 時(shí)間: 2025-3-26 14:20 作者: ostracize 時(shí)間: 2025-3-26 17:59
The Properties of Birandom Multiobjective Programming Problems (BRMOP) problem and its expected value model. Then we present the concepts of non-inferior solution, called expected-value efficient solutions and expected-value wake efficient solutions, and their properties are also discussed. The results obtained in this paper can provide theoretical basis for designing algorithms to solve the BRMOP problem.作者: 相符 時(shí)間: 2025-3-26 21:13
https://doi.org/10.1007/978-3-642-21524-7cellular automata; cloud computing; image processing; mathematical modeling; wireless sensor networks; al作者: mighty 時(shí)間: 2025-3-27 02:50
978-3-642-21523-0Springer-Verlag GmbH Berlin Heidelberg 2011作者: 外向者 時(shí)間: 2025-3-27 07:17 作者: 含糊 時(shí)間: 2025-3-27 10:44
https://doi.org/10.1007/978-1-4471-3427-5ired to satisfy all constrains and optimize overall criteria. Combined with MOPSO algorithm, a Pareto-based multi-objective model is proposed, which includes not only the time-cost tradeoff, but also a “Constraint-First-Objective-Next” strategy which handles constraints as an additional objective. N作者: Adornment 時(shí)間: 2025-3-27 13:38 作者: Eosinophils 時(shí)間: 2025-3-27 20:58
https://doi.org/10.1007/978-1-4471-3427-5r operator of the genetic algorithm as the particle updating strategy. Second, a propagating mechanism is adopted to propagate the non-dominated archive. Third, a local search heuristic based on scatter search is applied to improve the non-dominated solutions. Computational study shows that the HMOP作者: 神刊 時(shí)間: 2025-3-27 23:55 作者: chandel 時(shí)間: 2025-3-28 03:51 作者: dry-eye 時(shí)間: 2025-3-28 09:11 作者: 著名 時(shí)間: 2025-3-28 11:44
Combined Actions of Antimicrobial Drugsmplicated optimization problem consisting of more than one objectives and constraints. In this paper we present a new multi-objective particle swarm optimization (PSO) algorithm for effectively solving the SEML problem model whose objectives include minimizing maintenance cost and maximizing expecte作者: 不規(guī)則 時(shí)間: 2025-3-28 16:09
Pharmacokinetic Drug Interactionsrse requests. To solve this problem, a mathematical formulation is proposed where the hospital administrators can set multiple objectives and stipulate a set of scheduling constraints. We then present a multiobjective optimization method based on the cyber swarm algorithm (CSA) to solve the nurse sc作者: 恃強(qiáng)凌弱的人 時(shí)間: 2025-3-28 21:48 作者: 失眠癥 時(shí)間: 2025-3-29 02:49
https://doi.org/10.1007/978-3-642-65052-9on planning graph (AMP-graph) is described for individual movement representations. An individual autonomous motion rule (IAM-rule) based on “free-loose” and “well-distributed load-bearing” preferences is presented. By establishing the simple and effective individual rule model, an ideal handling fo作者: 完成 時(shí)間: 2025-3-29 03:13 作者: GEON 時(shí)間: 2025-3-29 08:48 作者: Homocystinuria 時(shí)間: 2025-3-29 14:49 作者: Demulcent 時(shí)間: 2025-3-29 15:45 作者: MILK 時(shí)間: 2025-3-29 23:18 作者: frenzy 時(shí)間: 2025-3-30 00:20
Plant Cell Biology: When, How, and Why?,inspired divisive clustering algorithm FDClust (Artificial Fish based Divisive Clustering algorithm). FDClust takes inspiration from the social organization and the encounters of fish shoals. In this algorithm, each artificial fish (agents) is identified with one object to be clustered. Agents move 作者: inventory 時(shí)間: 2025-3-30 04:53
J. K. Freericks,T. R. Devereaux,R. Bullaention to the measurement of reusability. There is a tremendous scope of using various data mining techniques in identifying set of software components having more dependency amongst each other, making each of them less reusable in isolation. For object-oriented development paradigm, class coupling 作者: EWE 時(shí)間: 2025-3-30 09:25 作者: 壓倒性勝利 時(shí)間: 2025-3-30 16:04
A Modified Multi-objective Binary Particle Swarm Optimization Algorithmrithm. The experimental results on a set of multi-objective benchmark functions demonstrate that the proposed MBBPSO is a competitive multi-objective optimizer and outperforms the standard binary PSO algorithm in terms of convergence and diversity.作者: 創(chuàng)造性 時(shí)間: 2025-3-30 18:47 作者: 廚房里面 時(shí)間: 2025-3-30 23:20
Multiobjective Optimization for Nurse Schedulingto create benefit from synergy. Two simulation problems are used to evaluate the performance of the proposed method. The experimental results manifest that the proposed method outperforms NSGA II and MOPSO in terms of convergence and diversity performance measures of the produced results.作者: 夜晚 時(shí)間: 2025-3-31 03:30 作者: 尾隨 時(shí)間: 2025-3-31 05:44
A Self-organized Approach to Collaborative Handling of Multi-robot Systemsthe IAM-rule are valid and feasible. On this basis, the self-organized approach to collaborative hunting and handling with obstacle avoidance of multi-robot systems can be further analyzed effectively.作者: needle 時(shí)間: 2025-3-31 12:28 作者: 蝕刻 時(shí)間: 2025-3-31 14:26 作者: 尋找 時(shí)間: 2025-3-31 21:15
FDClust: A New Bio-Inspired Divisive Clustering Algorithms will appear through the movement of agents in the same direction. The algorithm is tested and evaluated on several real benchmark databases. The obtained results are very interesting in comparison with Kmeans, Slink, Alink, Clink and Diana algorithms.作者: ENDOW 時(shí)間: 2025-3-31 22:44
