標(biāo)題: Titlebook: Advances in Swarm Intelligence; 5th International Co Ying Tan,Yuhui Shi,Carlos A. Coello Coello Conference proceedings 2014 Springer Intern [打印本頁(yè)] 作者: sulfonylureas 時(shí)間: 2025-3-21 19:41
書(shū)目名稱Advances in Swarm Intelligence影響因子(影響力)
書(shū)目名稱Advances in Swarm Intelligence影響因子(影響力)學(xué)科排名
書(shū)目名稱Advances in Swarm Intelligence網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Advances in Swarm Intelligence網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Advances in Swarm Intelligence被引頻次
書(shū)目名稱Advances in Swarm Intelligence被引頻次學(xué)科排名
書(shū)目名稱Advances in Swarm Intelligence年度引用
書(shū)目名稱Advances in Swarm Intelligence年度引用學(xué)科排名
書(shū)目名稱Advances in Swarm Intelligence讀者反饋
書(shū)目名稱Advances in Swarm Intelligence讀者反饋學(xué)科排名
作者: 釘牢 時(shí)間: 2025-3-21 20:55
0302-9743 duling and path planning; wireless sensor networks; power system optimization; swarm intelligence in image and video processing; applications of swarm intelligence to management problems; swarm intelligence for real-world application.978-3-319-11856-7978-3-319-11857-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 驚惶 時(shí)間: 2025-3-22 02:59 作者: 懸掛 時(shí)間: 2025-3-22 08:15 作者: 裝入膠囊 時(shí)間: 2025-3-22 12:31
A Unique Search Model for Optimizationight of imitation and learning, all the individuals within population were able to approach to the high yielding regions in the solution space, and seek out the optimal solutions quickly. Secondly, the premature convergence problem got completely overcame through new optimal solution policy. Finally作者: PURG 時(shí)間: 2025-3-22 13:15
Improve the 3-flip Neighborhood Local Search by Random Flat Move for the Set Covering Problemmost challenging crew scheduling instances from Italy railways. We introduce a method to further improve the effectiveness of 3FNLS by incorporating random flat move to its search process. Empirical studies show that this can obviously improve the solution qualities of 3FNLS on the benchmark instanc作者: LIMIT 時(shí)間: 2025-3-22 19:24 作者: Abnormal 時(shí)間: 2025-3-22 23:45 作者: fiction 時(shí)間: 2025-3-23 04:07 作者: 構(gòu)成 時(shí)間: 2025-3-23 07:31
A Unified Matrix-Based Stochastic Optimization Algorithm. This paper does not focus on any subbranch, but on the metaheuristics research from a unified view. The population of decision vectors is looked on as an abstract matrix and three novel basic solution generation operations, E[p(i,j)], E[p(c·i)] and E[i, p(c·i+j)], are proposed in this paper. They 作者: 獨(dú)特性 時(shí)間: 2025-3-23 13:42 作者: evasive 時(shí)間: 2025-3-23 14:09
A New Bio-inspired Algorithm: Chicken Swarm Optimizationen swarm and the behaviors of the chicken swarm, including roosters, hens and chicks, CSO can efficiently extract the chickens’ swarm intelligence to optimize problems. Experiments on twelve benchmark problems and a speed reducer design were conducted to compare the performance of CSO with that of o作者: conformity 時(shí)間: 2025-3-23 20:03 作者: 思考 時(shí)間: 2025-3-23 22:19
A New Magnetotactic Bacteria Optimization Algorithm Based on Moment Migrationomagnetic field lines. Its distinct biology characteristics are useful to design new optimization technology. In this paper, a new bionic optimization algorithm named Magnetotactic Bacteria Moment Migration Algorithm(MBMMA) is proposed. In the proposed algorithm, the moments of a chain of magnetosom作者: micronized 時(shí)間: 2025-3-24 04:45 作者: CROAK 時(shí)間: 2025-3-24 09:05 作者: 幼兒 時(shí)間: 2025-3-24 13:25 作者: Expiration 時(shí)間: 2025-3-24 15:53 作者: aphasia 時(shí)間: 2025-3-24 19:03 作者: overrule 時(shí)間: 2025-3-25 03:00 作者: 波動(dòng) 時(shí)間: 2025-3-25 05:13
High Performance Ant Colony Optimizer (HPACO) for Travelling Salesman Problem (TSP)on of unconventional algorithmic approaches based on natural computation. Ant Colony Optimization (ACO) technique is one of the popular unconventional optimization technique to solve this problem. In this paper, we propose High Performance Ant Colony Optimizer (HPACO) which modifies conventional ACO作者: patriarch 時(shí)間: 2025-3-25 08:21 作者: 邊緣帶來(lái)墨水 時(shí)間: 2025-3-25 15:01 作者: 中子 時(shí)間: 2025-3-25 19:11 作者: 惡心 時(shí)間: 2025-3-25 21:27 作者: UTTER 時(shí)間: 2025-3-26 01:52
Patrick R. McClintock,Abner Louis Notkinshe environment and performed real robot and simulation based experiments. We compared the performance of two proposed aggregation algorithms we called as the . and . with the state-of-the-art cue-based aggregation strategy BEECLUST. We showed that the proposed strategies outperform BEECLUST method. 作者: 令人苦惱 時(shí)間: 2025-3-26 06:35 作者: 典型 時(shí)間: 2025-3-26 11:27 作者: Duodenitis 時(shí)間: 2025-3-26 14:09 作者: GRAVE 時(shí)間: 2025-3-26 17:34
James M. Hogle,M. Chow,David J. Filmanecial threat-evading behaviors and show incredible regularity in movement by coordinating with each other. In this paper, the actions of a small fish swarm evades a blacktip reef shark are taken as an example, we put forward the concept of predator threat-field and present a mathematical model to de作者: V切開(kāi) 時(shí)間: 2025-3-26 22:28
Abner Louis Notkins,Michael B. A. Oldstonexisting heuristics either obtain less competitive solutions or consume too much time. In this paper, a new heuristic named Approximate Muscle guided Beam Search (AMBS) is developed to achieve a good trade-off between solution quality and running time. By combining the approximate muscle with beam se作者: 不適 時(shí)間: 2025-3-27 04:40
John Brady,Lionel Feigenbaum,George Khouryproved method, named IEFWA, which modifies EFWA in two aspects: a new Gaussian explosion operator that enables new sparks to learn from more exemplars in the population and thus improves solution diversity and avoids being trapped in local optima, and a new population selection strategy that enables作者: misshapen 時(shí)間: 2025-3-27 06:42
Integrated leisure opportunities,. This paper does not focus on any subbranch, but on the metaheuristics research from a unified view. The population of decision vectors is looked on as an abstract matrix and three novel basic solution generation operations, E[p(i,j)], E[p(c·i)] and E[i, p(c·i+j)], are proposed in this paper. They 作者: 誘惑 時(shí)間: 2025-3-27 11:31 作者: 山頂可休息 時(shí)間: 2025-3-27 16:22 作者: 獨(dú)特性 時(shí)間: 2025-3-27 20:35 作者: ODIUM 時(shí)間: 2025-3-27 22:40
Selected Tools of Ecologic Analysis,omagnetic field lines. Its distinct biology characteristics are useful to design new optimization technology. In this paper, a new bionic optimization algorithm named Magnetotactic Bacteria Moment Migration Algorithm(MBMMA) is proposed. In the proposed algorithm, the moments of a chain of magnetosom作者: alabaster 時(shí)間: 2025-3-28 04:41 作者: Leisureliness 時(shí)間: 2025-3-28 08:39 作者: ALOFT 時(shí)間: 2025-3-28 11:42 作者: 失敗主義者 時(shí)間: 2025-3-28 16:22
Lawrence R. Pomeroy,James J. Albertss global-coupling and likely to stop at local optima rather than the global one. This paper analyses PSO topology with complex network theory and proposes two approaches to improve PSO performance. One improvement is PSO with regular network structure (RN-PSO) and another is PSO with random network 作者: 常到 時(shí)間: 2025-3-28 21:12
https://doi.org/10.1007/978-94-007-5914-5e whole population is divided into a number of sub-swarms, in which the learning probability is employed to influence the exemplar of each individual and the center position of the best experience found so far by all the sub-swarms is also used to balance exploration and exploitation. Each particle 作者: debase 時(shí)間: 2025-3-29 02:59
Concepts of Matter in Science Educationard matrices of given orders are found via complete enumeration in the literature, but the searches are too computationally intensive when the orders are large. This paper introduces a search method for circulant partial Hadamard matrices by using natural heuristic algorithm. Slightly deviated from 作者: 精致 時(shí)間: 2025-3-29 06:21
Concepts of Matter in Science Educationon of unconventional algorithmic approaches based on natural computation. Ant Colony Optimization (ACO) technique is one of the popular unconventional optimization technique to solve this problem. In this paper, we propose High Performance Ant Colony Optimizer (HPACO) which modifies conventional ACO作者: doxazosin 時(shí)間: 2025-3-29 07:39
PHuNAC Model: Emergence of Crowd’s Swarm Behavioratterns. In order to validate our approach, we compared our system with real data. The conducted experiments show that the model is consistent with the various emergent behaviors and thus it provides realistic simulated pedestrian’s behavior.作者: 故意 時(shí)間: 2025-3-29 13:36
Improving Enhanced Fireworks Algorithm with New Gaussian Explosion and Population Selection Strategi high-quality solutions to have high probabilities of entering the next generation without incurring high computational cost. Numerical experiments show that the IEFWA algorithm outperforms EFWA on a set of benchmark function optimization problems.作者: 富饒 時(shí)間: 2025-3-29 19:19
A Unified Matrix-Based Stochastic Optimization Algorithmare inspired by the elementary matrix transformations, all of which have none latent meanings. Experiments with real-coded genetic algorithm, particle swarm optimization and differential evolution illustrate its promising performance and potential.作者: 脫離 時(shí)間: 2025-3-29 23:03 作者: 創(chuàng)新 時(shí)間: 2025-3-30 01:59
A Population-Based Extremal Optimization Algorithm with Knowledge-Based Mutationd to PID parameter tuning. The simulation results show that the proposed algorithm is characterized by high response speed, small overshoot and steady-state error, and obtains satisfactory control effect.作者: Capture 時(shí)間: 2025-3-30 05:43
A Magnetotactic Bacteria Algorithm Based on Power Spectrum for Optimizationin the algorithm. Its performance is tested on 8 standard functions problems and compared with the other two popular optimization algorithms. Experimental results show that the PSMBA is effective in optimization problems and has good and competitive performance.作者: 紅潤(rùn) 時(shí)間: 2025-3-30 10:07 作者: Crater 時(shí)間: 2025-3-30 13:14
An Adaptive Particle Swarm Optimization within the Conceptual Framework of Computational Thinkingearning framework of distributed reconfigurable PSO with small world network (DRPSOSW) is proposed, which is supposed to give a systemative approach to improve algorithms. Finally, a series of benchmark functions are tested and contrasted with the former representative algorithms to validate the feasibility and creditability of DRPSOSW.作者: Prophylaxis 時(shí)間: 2025-3-30 17:08 作者: 儲(chǔ)備 時(shí)間: 2025-3-30 21:54 作者: RACE 時(shí)間: 2025-3-31 04:22 作者: MOAT 時(shí)間: 2025-3-31 06:01
Selected Tools of Ecologic Analysis,th Genetic Algorithm, Differential Evolution and CLPSO on standard functions problems. The experiment results show that the MBMMA is effective in solving optimization problems. It shows good and competitive performance compared with the compared algorithms.作者: orthodox 時(shí)間: 2025-3-31 10:37
0302-9743 ence, ICSI 2014, held in Hefei, China in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in 18 cohesive sections, 3 special sessions and one competitive session covering all major topics of swarm intelligence res作者: 察覺(jué) 時(shí)間: 2025-3-31 16:19
Patrick R. McClintock,Abner Louis Notkins as the . and . with the state-of-the-art cue-based aggregation strategy BEECLUST. We showed that the proposed strategies outperform BEECLUST method. We also illustrated the feasibility of the method in the presence of noise. The results showed that the vector averaging algorithm is more robust to noise when compared to the na?ve method.作者: SOW 時(shí)間: 2025-3-31 17:59
Isolation of Cellular Receptors for Virusesek out the optimal solutions quickly. Secondly, the premature convergence problem got completely overcame through new optimal solution policy. Finally, the algorithm proposed here is naturally adaptable for the dynamic optimization problems. The unique search model was analyzed and revealed in detail.作者: Vaginismus 時(shí)間: 2025-3-31 23:49 作者: 預(yù)感 時(shí)間: 2025-4-1 04:43 作者: 莎草 時(shí)間: 2025-4-1 06:38 作者: 笨拙的我 時(shí)間: 2025-4-1 11:43 作者: Indict 時(shí)間: 2025-4-1 14:21
