نتایج جستجو برای: Serial and Parallel Schedule Generation Scheme

تعداد نتایج: 16933597  

In this paper, a preemptive multi-objective multi-mode project scheduling model for resource investment problem is proposed. The first objective function is to minimize the completion time of project (makespan);the second objective function is to minimize the cost of using renewable resources. Non-renewable resources are also considered as parameters in this model. The preemption of activities ...

Journal: :مهندسی عمران فردوسی 0
محمد حسن سبط محمدرضا افشار یعقوب علیپوری

in this paper, a fully informed particle swarm (fips) algorithm is proposed for solving the multi-mode resource-constrained project scheduling problem (mrcpsp) with minimization of project makespan as the objective subject to resource and precedence constraints. in the proposed fips, a random key and the related mode list (ml) representation scheme are used as encoding schemes and the multi-mod...

In this paper, a new genetic algorithm (GA) is presented for solving the multi-mode resource-constrained project scheduling problem (MRCPSP) with minimization of project makespan as the objective subject to resource and precedence constraints. A random key and the related mode list (ML) representation scheme are used as encoding schemes and the multi-mode serial schedule generation scheme (MSSG...

Journal: :RAIRO - Operations Research 2012
Reza Zamani

This paper presents a hybrid schedule generation scheme for solving the resource-constrained project scheduling problem. The scheme, which is called the Polarized Adaptive Scheduling Scheme (PASS), can operate in a spectrum between two poles, namely the parallel and serial schedule generation schemes. A polarizer parameter in the range between zero and one indicates how similarly the PASS behav...

Journal: :international journal of supply and operations management 2015
mohammad hassan sebt mohammad reza afshar yagub alipouri

in this paper, a new genetic algorithm (ga) is presented for solving the multi-mode resource-constrained project scheduling problem (mrcpsp) with minimization of project makespan as the objective subject to resource and precedence constraints. a random key and the related mode list (ml) representation scheme are used as encoding schemes and the multi-mode serial schedule generation scheme (mssg...

2017
Daniel Karapetyan Alexei Vernitski

The majority of scheduling metaheuristics use indirect representation of solutions as a way to efficiently explore the search space. Thus, a crucial part of such metaheuristics is a “schedule generation scheme” – procedure translating the indirect solution representation into a schedule. Schedule generation scheme is used every time a new candidate solution needs to be evaluated. Being relative...

2017
Alexei Vernitski

The majority of scheduling metaheuristics use indirect representation of solutions as a way to efficiently explore the search space. Thus, a crucial part of such metaheuristics is a “schedule generation scheme” – procedure translating the indirect solution representation into a schedule. Schedule generation scheme is used every time a new candidate solution needs to be evaluated. Being relative...

2017
Nan Liu Laisheng Xiang Xiyu Liu

A P system for resource-constrained project scheduling problem(RCPSP) based on serial schedule generation scheme is proposed in this paper to provide new ideas for parallel solutions in today’s big data environment. Because P system has great parallelism, it could solve hard problems, typically NP-complete problems, in polynomial time. We use membrane to conduct the whole process of computation...

F. Yazdanpanah and A. Vafaei,

A systolic serial multiplier for unsigned numbers is presented which operates without zero words inserted between successive data words, outputs the full product and has only one clock cycle latency. The multiplier is based on a modified serial/parallel scheme with two adjacent multiplier cells. Systolic concept is a well-known means of intensive computational task through replication of func...

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