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IM-MOPSO
- 改进的多目标粒子群算法，成功解决了多目标优化的经典问题，比如ZDT,KUR,SCH经典优化问题等，只需要对f1,f2函数修改后就可以应用。-Improved many target particle swarm algorithm, success in solving the multi-objective optimization of the classic problems, such as ZDT, KUR, SCH classic optimization problem, only
Code
- particle swarm optimization code im matlab
GSO2
- Abstract：An improved GSO (Group Search Optimizer)Algorithm with predictive model is introduced in this paper． MATLAB implementation of the improved Group Search Optimizer Al gorithm is described in detail．This paper introduced the concept of fu
Resources-Allocation
- 在传统的子载波分配过程中，具有优先权的用户将优先选择最好的载波，这将导致载波利用效率下降。 许多改进算法通过牺牲一定的公平性来提升容量并降低复杂度，但是这可能会使用户间无法达到所要求的公平 性。针对这些问题，提出了一种基于公平度门限的载波和功率自适应分配算法。在载波分配过程中，通过公平度 门限来决定载波分配优先级，从而实现容量和公平度的粗略折中。载波分配后利用粒子群（PSO）算法进行功率分配来达到所要求的公平度门限。实验结果表明，该算法在满足所要求公平度门限的同时提升了系统容量。 -
unit_opt
- The architecture of this set of codes and the interaction among them is shown in Figure 1. The main testing code main code.m calls the code riemann grad unit opt.m that performs Riemannian optimization under unitary matrix constraint. Steepest De
IM-MOPSO
- 一种改善的多目标粒子群算法，包括了多个实例的实验！-A improved multi-objective particle swarm optimization, including several instaces.
IM-MOPSO多目标粒子群优化程序
- 多目标粒子群优化程序比较经典的希望对大家有帮助(The multiobjective particle swarm optimization program is more classic and helpful for everyone)