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With the development of technology, calculated amount especially in seismic data processing is increasing in virtual computing environment and the data size is astonishing. In this paper, based on the seismic data and the influence factors during the calculation, we present a suitable data partitioning strategy-the PGA (Pretreatment Genetic Algorithm) algorithm. The scheduling problem in virtual computing...
Water resources system has obvious complexity and uncertainty, so water resources allocation and scheduling management is a typical group decision-making problem. Determining how to generate the optimum solution set by computing is the key to the research and development of water resources scheduling decision group support system. For this problem, in the existing group decision support systems on...
Evolutionary computation is emerging as a novel engineering computational paradigm, which plays a significant role in several optimization problems. Job-shop scheduling problem (JSSP) is one among the common NP-hard combinatorial optimization problems. The JSSP is defined as allocation of machines for a set of jobs over time in order to optimize the performance measure satisfying certain constraints...
In real projects, both the trade-off between the project cost and the project completion time, and the uncertainty of the environment are considerable aspects for decision-makers. However, the research on the time-cost tradeoff problem seldom concerns fuzzy environments. In this paper, a new fuzzy time-cost trade-off model with the philosophy of dependent-chance programming is proposed, in which credibility...
This paper proposes a novel, bi-objective mixed-integer mathematical programming for an open shop scheduling problem (OSSP) that minimizes the mean tardiness and the mean completion time. To obtain the efficient (Pareto-optimal) solutions, a fuzzy multi-objective decision making (MODM) approach is applied. By the use of this approach, the related auxiliary single objective formulation can be achieved...
Scheduling problems are very important for many (research) fields like management, industrial engineering, operations research and computer science. However many instances of scheduling problems were proven to be NP-hard, therefore the use of heuristics is the de-facto approach in order to cope in practice with its difficulty. In this paper we consider instance problems from the class of uniform parallel...
The complication of multiple reciprocating plunger pumps and centrifugal multilevel pumps connected in parallel in the pumping stations has been a challenge for decision makers to meet the demand of the efficiency and cost-effective production. In this paper, an efficiency mathematical model and an effective pump scheduling problem based on Genetic Algorithm (GA) are proposed. The objective is to...
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