نتایج جستجو برای Tabu search

تعداد نتایج: 223475  

The hub location problems (HLP) constitute an important class of facility location problems that have been addressed by numerous operations researchers in recent years. HLP is a strategic problem frequently encountered in designing logistics and transportation networks. Here, we address the competitive multiple allocation HLP in a duopoly market. It is assumed that an incumbent firm (the leader...

The mathematical modeling of fracture networks is critical for the exploration and development of natural resources. Fractures can help the production of petroleum, water, and geothermal energy. They also greatly influence the drainage and production of methane gas from coal beds. Orientation and spatial distribution of fractures in rocks are important factors in controlling fluid flow. The obj...

Job shop scheduling problem (JSP) is an attractive field for researchers and production managers since it is a famous problem in many industries and a complex problem for researchers. Due to NP-hardness property of this problem, many meta-heuristics are developed to solve it. Solution representation (solution seed) is an important element for any meta-heuristic algorithm. Therefore, many resear...

K. Eshghi and S. Pasalar,

Multicommodity distribution problem is one of the most interesting and useful models in mathematical programming due to its major role in distribution networks. The purpose of this paper is to describe and solve a special class of multicommodity distribution problems in which shipment of a commodity from a plant to a customer would go through different distribution centers. The problem is t...

and Gh. Moslehi, M. E. Hamedani Golshan, S. A. Arefifar,

Introducing distributed generation into a power system can lead to numerous benefits including technical, economic, environmental, etc. To attain these benefits, distributed generators with proper rating should be installed at suitable locations. Given the similar effects of distributed generators and capacitor banks on operation indices of a distribution system, simultaneous assignment of best...

A. Heidari, M. Kazemi, M. Lashkary,

Using Metaheuristics models and Evolutionary Algorithms for solving portfolio problem has been considered in recent years.In this study, by using particles swarm optimization and tabu search algorithms we  optimized two-sided risk measures . A standard exact penalty function transforms the considered portfolio selection problem into an equivalent unconstrained minimization problem. And in final...

D. Rahmani, , M. Saidi-Mehrabad, , R. Ramezanian, ,

Flow shop scheduling problem with missing operations is studied in this paper. Missing operations assumption refers to the fact that at least one job does not visit one machine in the production process. A mixed-binary integer programming model has been presented for this problem to minimize the makespan. The genetic algorithm (GA) and tabu search (TS) are used to deal with the optimization...

Journal: :Computers & OR 2004
Ümit Bilge, Furkan Kiraç, Müjde Kurtulan, Pelin Pekgün,

In this study, a Tabu Search (TS) approach to the parallel machine scheduling problem is presented. The problem considered consists of a set of independent jobs to be scheduled on a number of parallel processors to minimize total tardiness. Several surveys on parallel machine scheduling with due date related objectives [1, 2, 3] reveal that the NP-hard nature of the problem renders it a challen...

2015
Chetan Sharma,

The test cases are generated manually as well as automatically to test software product. Manual test case generation require more time and cost than automatic test case generation. Automated generated test cases decrease the time and cost of testing process. Nowadays software companies are turning towards automated test case generation. After the generation of test cases, there is need to optim...

Journal: :Pattern Recognition 1998
Pasi Fränti, Juha Kivijärvi, Olli Nevalainen,

A tabu search algorithm is proposed for the codebook generation in vector quantization. The key question is the definition of neighboring solution. Making random modifications to the current solution is not sufficient alone. The proposed algorithm first makes non-local changes to the codebook which is then fine-tuned by the generalized Lloyd algorithm (GLA). For a set of gray scale images, the ...

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