標(biāo)題: Titlebook: Cohort Intelligence: A Socio-inspired Optimization Method; Anand Jayant Kulkarni,Ganesh Krishnasamy,Ajith Abr Book 2017 Springer Internati [打印本頁(yè)] 作者: counterfeit 時(shí)間: 2025-3-21 18:29
書目名稱Cohort Intelligence: A Socio-inspired Optimization Method影響因子(影響力)
書目名稱Cohort Intelligence: A Socio-inspired Optimization Method影響因子(影響力)學(xué)科排名
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書目名稱Cohort Intelligence: A Socio-inspired Optimization Method網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Cohort Intelligence: A Socio-inspired Optimization Method被引頻次
書目名稱Cohort Intelligence: A Socio-inspired Optimization Method被引頻次學(xué)科排名
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書目名稱Cohort Intelligence: A Socio-inspired Optimization Method年度引用學(xué)科排名
書目名稱Cohort Intelligence: A Socio-inspired Optimization Method讀者反饋
書目名稱Cohort Intelligence: A Socio-inspired Optimization Method讀者反饋學(xué)科排名
作者: 道學(xué)氣 時(shí)間: 2025-3-21 22:26
Socio-Inspired Optimization Using Cohort Intelligence,ulated annealing (SA), Tabu search, etc., have become popular due to their simplicity to implement and working based on rules. The GA is population based which is evolved using the operators such as selection, crossover, mutation, etc. According to Deb (Methods Appl Mech Eng, 186:311–338, 2000, [.])作者: 泥瓦匠 時(shí)間: 2025-3-22 03:49
Cohort Intelligence for Constrained Test Problems,nstrained problems. There are a several traditional methods available such as feasibility-based methods, gradient projection method, reduced gradient method, Lagrange multiplier method, aggregate constraint method, feasible direction based method, penalty based method, etc. (Kulkarni and Tai in Int 作者: aerial 時(shí)間: 2025-3-22 06:47
Modified Cohort Intelligence for Solving Machine Learning Problems, more similar to each another than objects in the different cluster according to certain predefined criteria. K-means is simple yet an efficient method used in data clustering. However, K-means has a tendency to converge to local optima and depends on initial value of cluster centers. In the past, m作者: PAN 時(shí)間: 2025-3-22 09:54 作者: affluent 時(shí)間: 2025-3-22 15:23
Solution to a New Variant of the Assignment Problem Using Cohort Intelligence Algorithm,, 2016, [1]). The model has applications in healthcare systems and inventory management. The problem stems from an application in healthcare management. Specifically, a surgical scheduling in a hospital setting is a complex combinatorial problem. In addition, similar problem arises in minimizing the作者: affluent 時(shí)間: 2025-3-22 18:05 作者: HARD 時(shí)間: 2025-3-22 22:28 作者: Thymus 時(shí)間: 2025-3-23 02:09
Conclusions and Future Directions,vation of the methodology is also discussed in detail. The methodology was successfully tested and validated by solving several unconstrained problems with different modalities and dimensions. The solution quality was quite promising and encouraging in terms of objective function, robustness, avoida作者: 故意釣到白楊 時(shí)間: 2025-3-23 07:57
Socio-Inspired Optimization Using Cohort Intelligence,an communicate with one another either directly or indirectly. The techniques such as Particle Swarm Optimization (PSO) is inspired from the social behavior of bird flocking and school of fish searching for food.作者: LUMEN 時(shí)間: 2025-3-23 11:44
Cohort Intelligence: A Socio-inspired Optimization Method作者: Exterior 時(shí)間: 2025-3-23 17:34 作者: 歌曲 時(shí)間: 2025-3-23 19:54
Andreas Weyland,Florian Jelschenan communicate with one another either directly or indirectly. The techniques such as Particle Swarm Optimization (PSO) is inspired from the social behavior of bird flocking and school of fish searching for food.作者: NAG 時(shí)間: 2025-3-23 23:04 作者: Control-Group 時(shí)間: 2025-3-24 02:57
https://doi.org/10.1007/978-3-662-45148-9iciency, utilization with minimum initial investment and operational cost of various household as well as industrial equipments and machineries. To set a record in a race, for example, the aim is to do the fastest (shortest time).作者: 減去 時(shí)間: 2025-3-24 08:46 作者: Gum-Disease 時(shí)間: 2025-3-24 14:08 作者: 尊重 時(shí)間: 2025-3-24 17:04 作者: 信徒 時(shí)間: 2025-3-24 20:22 作者: 泄露 時(shí)間: 2025-3-25 02:05
,Solution to 0–1 Knapsack Problem Using Cohort Intelligence Algorithm,chapter further tests the ability of CI by solving an NP-hard combinatorial problem such as Knapsack Problem (KP). Several cases of the 0–1 KP are solved. The effect of various parameters on the solution quality has been discussed. The advantages and limitations of the CI methodology are also discussed.作者: Abbreviate 時(shí)間: 2025-3-25 05:31
Solution to Sea Cargo Mix (SCM) Problem Using Cohort Intelligence Algorithm,ics in Engineering, 186(2–4):311–338, 2000, [1–4]) has been applied successfully applied solving combinatorial problems such as Knapsack problem, Traveling Salesman Problem and the new variant of the assignment problem (also referred to as Cyclic Bottleneck Problem (CBAP)).作者: neurologist 時(shí)間: 2025-3-25 10:18
Solution to the Selection of Cross-Border Shippers (SCBS) Problem,ates, processing times, fund availability, and shippers’ compliance. We formulate and solve the multi-period instance of this problem as well. The performance of the CI method is compared to that of Integer Programming (IP) solution obtained using CPLEX and to specifically developed multi-random-start local search (MRSLS) method.作者: Femine 時(shí)間: 2025-3-25 12:47 作者: linguistics 時(shí)間: 2025-3-25 16:19 作者: 蝕刻 時(shí)間: 2025-3-25 20:21 作者: 新奇 時(shí)間: 2025-3-26 01:20 作者: 噱頭 時(shí)間: 2025-3-26 05:06 作者: 食道 時(shí)間: 2025-3-26 08:56
A. B. J. Groeneveld,L. G. Thijsnce of local minima, computational time and function evaluations. The effect of each individual parameter such as sampling interval reduction factor, number of candidates and number of variations on the computational performance was also tested.作者: Foregery 時(shí)間: 2025-3-26 14:31
https://doi.org/10.1007/978-3-662-45148-9sed methods can be referred to as generalized constraint handling methods. They can be easily incorporated into most of the unconstrained optimization methods and can be used to handle nonlinear constraints.作者: LINES 時(shí)間: 2025-3-26 17:51
Cohort Intelligence for Constrained Test Problems,sed methods can be referred to as generalized constraint handling methods. They can be easily incorporated into most of the unconstrained optimization methods and can be used to handle nonlinear constraints.作者: 甜得發(fā)膩 時(shí)間: 2025-3-26 23:11
Anand Jayant Kulkarni,Ganesh Krishnasamy,Ajith AbrPresents the core and underlying principles and analysis of the different concepts associated with an emerging socio-inspired AI optimization tool referred to as Cohort Intelligence (CI).Discusses in 作者: FER 時(shí)間: 2025-3-27 02:22 作者: extinguish 時(shí)間: 2025-3-27 05:57 作者: 流動(dòng)才波動(dòng) 時(shí)間: 2025-3-27 11:55
978-3-319-83022-3Springer International Publishing Switzerland 2017作者: 軍械庫(kù) 時(shí)間: 2025-3-27 17:29 作者: guardianship 時(shí)間: 2025-3-27 20:57 作者: Conducive 時(shí)間: 2025-3-27 21:55 作者: 控訴 時(shí)間: 2025-3-28 02:49
Cohort Intelligence: A Socio-inspired Optimization Method978-3-319-44254-9Series ISSN 1868-4394 Series E-ISSN 1868-4408 作者: Alveolar-Bone 時(shí)間: 2025-3-28 08:52
H?modynamisches Monitoring in der Sepsis, 2016, [1]). The model has applications in healthcare systems and inventory management. The problem stems from an application in healthcare management. Specifically, a surgical scheduling in a hospital setting is a complex combinatorial problem. In addition, similar problem arises in minimizing the space requirements in a retail store.作者: pacifist 時(shí)間: 2025-3-28 11:22
https://doi.org/10.1007/978-3-662-45148-9desired from least investment; maximum number of crop yield is desired with minimum investment on fertilizers; maximizing the strength, longevity, efficiency, utilization with minimum initial investment and operational cost of various household as well as industrial equipments and machineries. To se作者: 辯論 時(shí)間: 2025-3-28 17:27 作者: CULP 時(shí)間: 2025-3-28 19:13 作者: 全能 時(shí)間: 2025-3-29 00:45 作者: Pert敏捷 時(shí)間: 2025-3-29 05:58 作者: 蛤肉 時(shí)間: 2025-3-29 10:56 作者: adj憂郁的 時(shí)間: 2025-3-29 11:29
September 11, 2001 as a Cultural Traumaon Research Part C, 21:17–30, 2012; Wong et al. in European Journal of Operational Research 193:86–97, 2009; Deb in Computer Methods in Applied Mechanics in Engineering, 186(2–4):311–338, 2000, [1–4]) has been applied successfully applied solving combinatorial problems such as Knapsack problem, Trav作者: blithe 時(shí)間: 2025-3-29 19:32 作者: 進(jìn)取心 時(shí)間: 2025-3-29 22:01
A. B. J. Groeneveld,L. G. Thijsvation of the methodology is also discussed in detail. The methodology was successfully tested and validated by solving several unconstrained problems with different modalities and dimensions. The solution quality was quite promising and encouraging in terms of objective function, robustness, avoida
