extensive research has been devoted to resource constrained project scheduling problem. however, little attention has been paid to problems where a certain time penalty must be incurred if activity preemption is allowed. in this paper, we consider the project scheduling problem of minimizing the total cost subject to resource constraints, earliness-tardiness penalties and preemption penalties, ...

This paper presents privacy-preserving, parallel computing algorithms on a graphic processing unit (GPU) architecture to solve the Edit-Distance (ED) and the Smith-Waterman (SW) problems. The ED and SW problems are formulated into dynamic programming (DP) computing problems, which are solved using the Secure Function Evaluation (SFE) to meet privacy protection requirements, based on the semi-ho...

This paper presents an experimental investigation of the Sounds of Silence (SoS) harmony search metaheuristic for the multi-mode resource-constrained project scheduling problem (MRCPSP) using a pre-optimized starting repertoire. The presented algorithm is based on the time oriented version of the SoS harmony search metaheuristic developed by Csébfalvi et al. [1] for the single-mode resource-con...

Nature conducts its action in a very private manner. To reveal these actions classical science has done a great effort. But classical science can experiment only with the things that can be seen with eyes. Beyond the scope of classical science quantum science works very well. It is based on some postulates like qubit, superposition of two states, entanglement, measurement and evolution of state...

Automatic Synthesis of large realtime systems using an array of oo-the-shelf general purpose processors, digital signal processors and Field Programmable Gate Arrays is increasingly gaining importance. Each of the subproblems in such a synthesis process, namely, pipelining, resource type selection, resource allocation, resource assignment, resource scheduling and resource re-connguration are co...

One of the greatest difficulties in working with combinatorial optimization is that the methods require specific procedures for each problem. Even general purpose methods, like Evolutionary Algorithms, require operators developed specifically for the problems. Suppose, for example, that someone has developed a code to solve Single Machine Scheduling problems. If such person decides to change an...

This paper deals with the speed optimization of iterative algorithms with matrix operations or nested loops for hardware implementation in Field Programmable Gate Arrays (FPGA). The presented scheduling algorithm use Integer Linear Programming (ILP) while complex algorithm structure is modeled by system of linear inequalities. The method is demonstrated on a LQ control algorithm. An advantage o...

This paper discussed the scheduling problem of outpatients in a radiology center with an emphasis on priority. To more compatibility to real-world conditions, we assume that the elapsed times in different stages to be uncertain that follow from the specific distribution function. The objective is to minimize outpatients’ total spent time in a radiology center. The problem is formulated as a fle...