Abstract In cloud computing, task scheduling and resource allocation are the two core issues of IaaS layer. Efficient algorithm can improve matching efficiency between tasks resources. this paper, an enhanced heterogeneous earliest finish time based on rule (EHEFT-R) is proposed to optimize execution efficiency, quality service (QoS) energy consumption. EHEFT-R, ordering rules priority constrai...

In this research paper, n jobs have to be scheduled on one-machine minimize the sum of maximum earliness and tardiness. We solved a series bi-criteria scheduling problems that related Three new algorithms were presented, two for hierarchical objective one simultaneous objective. Using results these algorithms, we This considered as NP-hard problem, it is also irregular, so missed some helpful p...

  In this paper flexible job-shop scheduling problem (FJSP) is studied in the case of optimizing different contradictory objectives consisting of: (1) minimizing makespan, (2) minimizing total workload, and (3) minimizing workload of the most loaded machine. As the problem belongs to the class of NP-Hard problems, a new hybrid genetic algorithm is proposed to obtain a large set of Pareto-optima...

With increasing competition in the business world and the emergence and development of new technologies, many companies have turned to integrated production and distribution for timely production and delivery at the lowest cost of production and distribution and with the least delay in delivery. By increasing human population and the increase in greenhouse gas emissions and industrial waste, in...