since software systems play an important role in applications more than ever, the security has become one of the most important indicators of softwares.cloud computing refers to services that run in a distributed network and are accessible through common internet protocols. presenting a proper scheduling method can lead to efficiency of resources by decreasing response time and costs. this rese...

this paper studies the hybrid flow shop scheduling where the optimization criterion is the minimization of total tardiness. first, the problem is formulated as a mixed integer linear programming model. then, to solve large problem sizes, an artificial immune algorithm hybridized with a simple local search in form of simulated annealing is proposed. two experiments are carried out to evaluate th...

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in static scheduling problem, where there is no change in situation, the challenge is that the large problems can be solved in a short time. in this paper, the static scheduling problem of automated guided vehicles in container terminal is solved by the network simplex algorithm (nsa). the algorithm is based on graph model and their performances are at least 100 times faster than traditional si...

Constraint programming (CP) offers flexible and effective tools for modeling combinatorial optimization problems. At the same time, scheduling with sum type optimization criteria, such as total completion time is challenging for CP. In this paper we show how extending a standard CP solver by a global constraint on total completion time can boost the performance of CP on various, seemingly very ...

We propose a new family of job scheduling policies for parallel computer systems that can be optimized to adapt to changes in the workload. Simulation optimization is used to reveal important properties of optimal job scheduling policies. For this optimization a new approach is suggested that combines two recent stochastic optimization methods: the nested partitions method and ordinal optimizat...