Evolutionary membrane computing is an important research direction of membrane
computing that aims to explore the complex interactions between membrane computing and …

The accurate electrochemical model plays an important role in design and analysis of
hydrogen fuel cell systems. For the purpose of estimating parameters of the proton …

Accurate kinetic models are of great significance for the simulation and analysis for
hydrogen fuel cells. The proton exchange membrane (PEM) fuel cell is a complex nonlinear …

This paper presents a membrane algorithm, called MAQIS, by appropriately combining
concepts and principles of membrane computing and quantum-inspired evolutionary …

For practical purposes, rules have to be defined to use hierarchical membrane structures of
P-systems or membrane computing, the latest distributed and parallel paradigm in natural …

This paper proposes a membrane-inspired approximate algorithm to solve traveling
salesman problems, which is a well-known and extensively studied NP-complete …

Graph coloring problem (GCP) is an NP-complete combinatorial optimization problem. Its
computational complexity motivated many efforts to get approximate solutions through …

This paper presents the application of membrane algorithms to broadcasting problems,
which are regarded as NP-hard combinatorial optimization problems. A membrane …

This paper presents a novel membrane algorithm, called DEPS, for numerical optimization.
DEPS is an appropriate combination of a differential evolution algorithm, a local search and …

This paper proposes a membrane-inspired evolutionary algorithm based on population P
systems and differential evolution for multi-objective optimization. In the algorithm, the cells …