RECENT DEVELOPMENTS IN METAHEURISTIC ALGORITHMS: A Review M. P. Saka* * E. Doğan‡ Corresponding author‚ Prof. Dr.‚ University of Bahrain‚ Department of Civil Engineering‚ Isa Town‚ Bahrain ‡ Assistant Professor‚ Celal Bayar University‚ Civil Engineering Department‚ Manisa‚ Turkey Stream: ECT2012RL Reference: ECT2012RL/2011/00005 1 Abstract Recent developments in optimization techniques that deals in finding the solution of combinatorial optimization problems has provided engineering
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P2 P3 P4 P5 Burst Time 2 1 8 4 5 Priority 2 1 4 2 3 The processes are assumed to have arrived in the order P1‚ P2‚ P3‚ P4‚ P5‚ all at time 0. (a) Draw four Gantt charts that illustrate the execution of these processes using the following scheduling algorithms: FCFS‚ SJF‚ non-preemptive priority (a larger priority number implies a higher priority)‚ and RR (quantum = 2). FCFS ------------------------------------------------------------------------------------ | P1 | P2 | P3
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learning methods‚ and etc. In this project‚ genetic algorithm will be used to solve this problem by using GAlib package. Genetic Algorithms are adaptive methods which may be used to solve search and optimization problems. They are based on the genetic processes of biological organisms. Over many generations‚ natural populations evolve according to the principles of natural selection and "survival of the fittest". By mimicking this process‚ genetic algorithms are able to "evolve" solutions to real world
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Pencil Beam and Collapsed Cone Algorithm Calculations for a Lung-type Volume Using CT and the OMP Treatment Planning System Methods Measurements have been carried out in both phantom and a specifically designed phantom which simulated human lung volume. Samples were taken from the Lung Planning CT images for 15 patients using the Oncentra Masterplan OMP Treatment Planning System. The X-axis was‚ following convention‚ taken to be horizontal‚ and the Y-axis to be vertical; accordingly‚ abscissa
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Several standard scheduling algorithms including Shortest Seek Time First (SSTF)‚ First-Come/First-Served‚ Look‚ Scan‚ C-look‚ and C-Scan are supported by this application. Blocks that the algorithms are to seek are either generated on the go using distributions or are set up as a list in a file. In most cases the blocks can either all arrives at a later time
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Chapter I 1. Race Condition Race Condition occurs when two threads access a shared variable at the same time. The first thread reads the variable‚ and the second thread reads the same value from the variable. Then the first thread and second thread perform their operations on the value‚ and they race to see which thread can write the value last to the shared variable. The value of the thread that writes its value last is preserved‚ because the thread is writing over the value that the previous
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Asymptotic Functions: Big-O notation: The formal method of expressing the upper bound of an algorithm’s running time (worst case) Big-Omega notation: The formal method of expressing the lower bound of an algorithm’s running time (best case) Theta Notation: The method of expressing that a given function is bounded from both top to bottom by the same function This exists if and only if f(n) is O(g(n)) and f(n) is Ω(g(n)) Little-O notation:
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the iSLIP Scheduling Algorithm Petros Mol Todor Ristov Nikolaos Trogkanis University of California‚ San Diego University of California‚ San Diego University of California‚ San Diego pmol@cs.ucsd.edu tristov@cs.ucsd.edu nikos@cs.ucsd.edu ABSTRACT High throughput and fairness consist two desirable properties when scheduling traffic in an Input-Queued crossbar switch. Unfortunately‚ these two goals are conflicting which makes the job of most scheduling algorithms that want
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Chapter II Local Related Studies A computerized reservations and scheduling system is provided which alternately allows transportation consumers to select from pre-scheduled transportation services provided by transportation providers or to negotiate and contract with transportation providers who have available unscheduled transportation space. The system comprises a central computerized data base. Transportation providers and consumers alike access the computer via a plurality of terminal units
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Recommended Systems using Collaborative Filtering and Classification Algorithms in Data Mining Dhwani Shah 2008A7PS097G Mentor – Mrs. Shubhangi Gawali BITSC331 2011 1 BITS – Pilani‚ K.K Birla Goa INDEX S. No. 1. 2. 3. 4. 5. 6. 7. 8. 9. Topic Introduction to Recommended Systems Problem Statement Apriori Algorithm Pseudo Code Apriori algorithm Example Classification Classification Techniques k-NN algorithm Determine a good value of k References Page No. 3 5 5 7 14 16 19 24 26 2
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