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Titlebook: Cohort Intelligence: A Socio-inspired Optimization Method; Anand Jayant Kulkarni,Ganesh Krishnasamy,Ajith Abr Book 2017 Springer Internati

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发表于 2025-3-25 05:31:02 | 显示全部楼层
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)).
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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.
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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.
发表于 2025-3-26 14:31:38 | 显示全部楼层
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.
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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.
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