@article{oai:u-ryukyu.repo.nii.ac.jp:02001976,
 author = {Mendoza, Noel and Chen, Yen-Wei and Nakao, Zensho and Adachi, Tatsuhiro and Masuda, Yoshihisa and 陳, 延偉 and 仲尾, 善勝},
 issue = {59},
 journal = {琉球大学工学部紀要},
 note = {This paper presents a GA algorithm for function optimization that combines the features of Simplex crossover and Simulated Annealing. Hybridization with a local search tool like Simplex directs the GA to more promising search spaces while preventing premature local minima convergence. The use of Simulated Annealing(SA) as a mutation operator further enhances the GA's overall capability. This elitist real-coded multi-parent model is able to address the issue of slow convergence rate very well and is robust in optimizing epistatic multimodal problems. In addition to test functions, our model was applied to the resolution of overlapping signals., 紀要論文},
 pages = {87--99},
 title = {A Hybrid Optimization Method Using a Real-coded Multi-parent GA, Simplex & Simulated Annealing with Applications in Resolution of Overlapped Signals}
}