Quite a few problems in production planning and scheduling, location, transportation, finance, and engineering design require that decisions be made under uncertainty. In this paper, we focus on Fuzzy nonlinear optimization problems in the Linear Fuzzy Real (LFR) numbers. The problems will consist of fuzzy constraints and objective functions, crisp constraints with a fuzzy objective function, o...

Optimized fuzzy-neuro system is proposed to improve performance of scheduling jobs in a wafer fabrication factory (WFF). Fluctuation smoothing rules are normalized. Remaining cycle time of a job is accurately estimated by applying selforganization map with fuzzy back propagation network (SOM-FBPN). Division operator is applied instead of traditional subtraction operator to enhance responsivenes...

Scheduling is a fundamental issue in achieving high performance in multiclusters and computational grids. In this paper, we investigate the scheduling problem using the proposed scheduler uses a distributed approach with the capability of considering the local clusters advantages for executing the jobs. On the other hand, the distributed scheduler exploits the capabilities of fuzzy logic to qua...

The article focuses on the issues of Load Frequency Control (LFC) under non-linear strategies in multi source multi area hydro thermal system. On practical perspective dead band, boiler dynamics, reheat steam turbine along with hydro turbine operating under two different area capacities are considered in the system. When subjected to random load variations in both the areas, the system exhibits...

Keywords--Fuzzy reasoning, Fuzzy transform, Fuzzy optimization, Multiple rules, Interpolation, Scheduling. *Author to whom all correspondence should be addressed. This work is supported by the National Key Basic Research and Development Program (No. 2002CB312200), the National Natural Science Foundation of China (No. 60004010, No. 60274045, No. 60443009). 0898-1221/06/$ see front matter (~) 200...

Fuzzy algebra is an algebraic structure in which classical addition and multiplication are replaced by ⊕ and ⊗, where a⊕ b = max{a,b}, a⊗ b = min{a,b}. Fuzzy discrete dynamic systems can be introduced by fuzzy matrices and are useful for describing knowledge engineering, scheduling, cluster analysis, fuzzy logic programs, diagnosis of technical devices or medical diagnosis. The paper deals with...

Cloud computing has been a hot spot in recent years. In complex and dynamically changing cloud computing environment, resource management and scheduling is a hard and challenging problem, and should be solved at first. This paper presents an effective resource management model and the corresponding resource scheduling algorithm is based on fuzzy clustering and smart agent. With the help of fuzz...

In the last decade, various approximation approaches, such as dispatching rules, shifting bottleneck heuristic and local search methods, are proposed for the job shop scheduling problem. As one of the local search methods, taboo search provides a promising alternative for the job shop scheduling problem; however, it has to be tailored each time with respect to parameters for every instance in o...

Existing task scheduling algorithms in cloud computing have lack the ability to be aware of users' quality of service (QoS) preference. In order to address this problem, "intuitionistic fuzzy analysis" is introduced to determine users' QoS preference. In addition, the "optimal sequence decision method" helps experts use their professional knowledge to decide the weights of QoS classes. Using th...

The main aspiration of Grid Computing is to aggregate the maximum available idle computing power of the distributed resources, and provide well-organized services to users. An efficient grid resource allocation is very much essential to achieve this aspiration. Researchers had proposed many grid scheduling mechanisms in the past to fulfill this aspiration, but, these are mostly based on traditi...