Solving University Scheduling Problem Using Hybrid Approach

Hosseini, I.Nakhai Kamalabadi, Solving Linear- Quadratic Bi-Level Programming and Linear-Fractional Bi-Level Programming Problems Using Genetic Based Algorithm, Applied

In this study, we explored the usage of a stochastic search technique inspired by simulated annealing to solve the problem of the state assignment problem, a

Further development of this new approach and the implemented Excel program to explore and formulate a criteria on how to obtain an optimal solution of the general

Presented algorithm model in this paper has been discussed to solve time-cost trade-off in limited resources condition by using a multi- index decision making

The great advantage over the use of exact methods is that ACO algorithm provides relatively good results by a comparatively low number of iterations, and is therefore able to find

The above results demonstrates that Genetic Algorithm are able to reach to near optimal solution while if it mixed with any local search i.e., if it is made hybrid

Model is presented in AON (Activity on Node) structure. Resources are renewable. The renewable resources have limited capacities. Activities are allowed to move only in their free

The Membership Function Editor is the tool that lets, display and edits all of the membership functions associated with all of the input and output variables for the