To let biological processes, behaviors and structures inspire the design of problem solving algorithms and devices has been a prominent and persistent theme in engineering and applied sciences in the last few decades. Within this context, bio–inspired computing has taken a pioneering role. Fields such as evolutionary computing (1; 8; 25), artificial immune systems (4; 6; 43), membrane computing...

the systematics, morphology, distribution, biology, economic importance and conservation of the bull shark ( carcharhinus leucas ) in iran are described, the species is illustrated, and a bibliography on this fish in iran is provided.

The intersection of computer science and molecular biology is a fertile ground for new and exciting science. Two notable examples of this are molecular computing and molecular programming. Molecular computing is the use of molecules, and typically biological molecules, to create programmable autonomous computing devices1–7. Whereas molecular programming is the use of computer programming langua...

Soft computing is creating several possibilities in bioinformatics, especially by generating low-cost, low precision (approximate), good solutions. Bioinformatics is an interdisciplinary research area that is the interface between the biological and computational sciences. Bioinformatics deals with algorithms, databases and information systems, web technologies, artificial intelligence and soft...

Parallel computing is a topic of interest for a broad scientific community since it facilitates many time-consuming algorithms in different application domains.In this paper, we introduce a novel platform for parallel computing by using MPI and OpenMP programming languages based on set of networked PCs. UMZHPC is a free Linux-based parallel computing infrastructure that has been developed to cr...

Abstract The main intention of optimization is to bring about the “best” any model by prioritizing needs along with a given set constraints. There wide range problems, among which, unfortunately, problems that are formulated from nature not convex in nature. Solving non-convex quite trickier than conventional method derivatives. One such problem Computing minimum value binding free energy vario...

parallel computing is a topic of interest for a broad scientific community since it facilitates many time-consuming algorithms in different application domains.in this paper, we introduce a novel platform for parallel computing by using mpi and openmp programming languages based on set of networked pcs. umzhpc is a free linux-based parallel computing infrastructure that has been developed to cr...

The cloud computing is considered as a computational model which provides the uses requests with resources upon any demand and needs.The need for planning the scheduling of the user's jobs has emerged as an important challenge in the field of cloud computing. It is mainly due to several reasons, including ever-increasing advancements of information technology and an increase of applications and...

Grid computing is a term referring to the combination of computer resources from multiple administrative domains to reach a common computational platform. Mobile Computing is a Generic word that introduces using of movable, handheld devices with wireless communication, for processing data. Mobile Computing focused on providing access to data, information, services and communications anywhere an...