519 | -- | 520 | Marian Gheorghe, Gheorghe Paun, Mario J. Pérez-Jiménez, Agustin Riscos-Núñez. Preface |
521 | -- | 532 | Bogdan Aman, Péter Battyányi, Gabriel Ciobanu, György Vaszil. Simulating P systems with membrane dissolution in a chemical calculus |
533 | -- | 539 | Francis George C. Cabarle, Henry N. Adorna, Mario J. Pérez-Jiménez. Notes on spiking neural P systems and finite automata |
541 | -- | 549 | Ludek Cienciala, Lucie Ciencialová, Erzsébet Csuhaj-Varjú. A class of restricted P colonies with string environment |
551 | -- | 564 | Alberto Leporati, Luca Manzoni, Giancarlo Mauri, Antonio E. Porreca, Claudio Zandron. Monodirectional P systems |
565 | -- | 573 | Miguel A. Martínez-del-Amor, Luis F. Macías-Ramos, Luis Valencia-Cabrera, Mario J. Pérez-Jiménez. Parallel simulation of Population Dynamics P systems: updates and roadmap |
575 | -- | 578 | Linqiang Pan, Gheorghe Paun. On the universality of purely catalytic P systems |
579 | -- | 589 | Jianhua Xiao, Juanjuan He, Ping Chen, Yunyun Niu. An improved dynamic membrane evolutionary algorithm for constrained engineering design problems |
591 | -- | 596 | WeiTao Yuan, Gexiang Zhang, Mario J. Pérez-Jiménez, Tao Wang, Zhiwei Huang. P systems based computing polynomials: design and formal verification |
597 | -- | 610 | Xingyi Zhang, Jun Li, Lei Zhang. A multi-objective membrane algorithm guided by the skin membrane |
611 | -- | 634 | Urmi Majumder, Sudhanshu Garg, Thomas H. LaBean, John H. Reif. Activatable tiles for compact robust programmable molecular assembly and other applications |
635 | -- | 651 | Chenlong Liu, Jing Liu, Zhongzhou Jiang. An improved multi-objective evolutionary algorithm for simultaneously detecting separated and overlapping communities |
653 | -- | 664 | Zhuanzhe Zhao, Qingsong Xu, Minping Jia. Sensor network optimization of gearbox based on dependence matrix and improved discrete shuffled frog leaping algorithm |
665 | -- | 675 | Laura M. F. Bertens, Jetty Kleijn, Sander C. Hille, Monika Heiner, Maciej Koutny, Fons J. Verbeek. Modeling biological gradient formation: combining partial differential equations and Petri nets |