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two-stage solution algorithm

A two stage stochastic mixed integer program modelling and hybrid solution approach to portfolio selection problems

A two stage stochastic mixed integer program modelling and hybrid solution approach to portfolio selection problems

... the solution quality at certain points of time in the planning ...the solution quality in a more practical ...evaluate algorithm performance in the Stochastic Programming literature (Fleten, Høyland ...

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A simple randomised algorithm for convex optimisation: Application to two-stage stochastic programming

A simple randomised algorithm for convex optimisation: Application to two-stage stochastic programming

... near-optimal solution. Indeed in [29] the optimal solution value does not belong to the output of their ...final solution the function evaluation is made, by sampling from the distribution of the ...

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JAM: A Tabu-based Two-Stage Simulated Annealing Algorithm for the Multidimensional Arrangement Problem

JAM: A Tabu-based Two-Stage Simulated Annealing Algorithm for the Multidimensional Arrangement Problem

... in Algorithm 1, JAM maintains a tabu list of movements that are not to be ...current solution φ ∗ , φ ′ is replaced by an arrangement chosen from Φ with probabilities proportional to their respective costs ...

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A two Stage Heuristic Solution Approach for Resource Assignment during a Cell Formation Problem

A two Stage Heuristic Solution Approach for Resource Assignment during a Cell Formation Problem

... genetic algorithm to solve the ...annealing algorithm to solve the ...proposed two mathematical models to design a ...addresses two heuristic procedures to grouping the parts into cells based ...

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A hybrid one then two stage algorithm for computationally expensive electromagnetic design optimization

A hybrid one then two stage algorithm for computationally expensive electromagnetic design optimization

... the solution was not found in step 2, provided the hypothesized objective function value f * was set appropriately, the points evaluated will not be concentrated entirely in one region of design variable ...

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An unit cost adjusting heuristic algorithm for the integrated planning and scheduling of a two-stage supply chain

An unit cost adjusting heuristic algorithm for the integrated planning and scheduling of a two-stage supply chain

... a two-stage supply chain to minimize the sum cost of production and transportation for some certain ...optimal solution within suitable calculating time by common algorithms, heuristic algorithms are ...

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LCBPA: two stage task allocation algorithm for high dimension data collecting in mobile crowd sensing network

LCBPA: two stage task allocation algorithm for high dimension data collecting in mobile crowd sensing network

... transportation [3], social behavior analysis [4], health- care [5], and others [6–9], which demonstrates that MCS is a useful solution for large-scale data collec- tion applications. In general, the MCS process ...

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Modified L-shaped Decomposition Method with Scenario Aggregation for a Two-Stage Stochastic Programming Problem

Modified L-shaped Decomposition Method with Scenario Aggregation for a Two-Stage Stochastic Programming Problem

... A solution of such two-stage or multi-stage stochastic mixed-integer optimization problems is directly computationally intractable for large instances, therefore, alternative approaches are ...

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Monitoring Atrial Fibrillation using PPG Signals and a Smartphone

Monitoring Atrial Fibrillation using PPG Signals and a Smartphone

... Abstract—Atrial fibrillation (AF) is a common type of cardiac arrhythmia. AF is associated with increased rates of death and hospitalizations. It is also re- lated to a degraded quality of life and reduced exercise ...

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DatabankConfCall-Notes-30Sep15

DatabankConfCall-Notes-30Sep15

... Getting permissions is less hard than many had expected. Parellel data is seen as experimatal data, not operational. Up to now we can publish all the daily data, except for two cases where we can still publish the ...

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Solving quadratic assignment problems using a hybrid nature inspired technique

Solving quadratic assignment problems using a hybrid nature inspired technique

... CGS-GA algorithm, a client receives from the consultant chosen for this iteration a suggestion regarding the next action to be ...taken. Solution construction is a stochastic process in proposed CGS- GA; ...

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Two-Stage Interpolation Algorithm Based on Fuzzy Logics and Edges Features for Image Zooming

Two-Stage Interpolation Algorithm Based on Fuzzy Logics and Edges Features for Image Zooming

... first stage deals with the lost pixels using an intelligent scheme that combines fuzzy logic and particle swarm ...interpolative stage, the lost pixels in an interior region are restored from the edge fea- ...

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Vol 3, No 4 (2012)

Vol 3, No 4 (2012)

... The algorithm proposed here for specially structured two stage flow shop scheduling problem with job restrictions is more efficient and less time consuming as compared to the algorithm ...

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Streaming algorithms for bin packing and vector scheduling

Streaming algorithms for bin packing and vector scheduling

... 1.5783-competitive algorithm, while the current lower bound on the asymptotic competitive ratio is ...online algorithm is based on the H ARMONIC algorithm [35], which for some integer K classifies ...

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Efficient algorithms in analyzing genomic data

Efficient algorithms in analyzing genomic data

... GDS algorithm takes a greedy searching scheme which is fast but does not guarantee an optimal so- ...KρDS algorithm searches for the optimal solution ...REP algorithm to select samples in ...

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Solution Algorithm for Transportation Problem

Solution Algorithm for Transportation Problem

... initial solution obtained by VAM and proceed to solve for the optimum solution, the amount of time required to arrive at the optimum solution is greatly ...initial solution using VAM are as ...

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Extensions of the Cross-Entropy Method with Applications to Diffusion Processes and Portfolio Losses

Extensions of the Cross-Entropy Method with Applications to Diffusion Processes and Portfolio Losses

... The cross-entropy methodology is a well-established method to determine how sim- ilar two measures are (see Asmussen and Glynn (2007) and references therein for a comprehensive treatment of the methodology). It ...

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Two stage decoding algorithm for unmodulated parallel combinatory high compaction multicarrier modulation signals

Two stage decoding algorithm for unmodulated parallel combinatory high compaction multicarrier modulation signals

... decoding algorithm that consists of two decoding stages is pro- ...decoding stage is responsible for a pre- liminary decision that serves to roughly find the likely candidates of B using the QRD-M ...

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Two-Stage Hybrid Precoding Algorithm Based on Switch Network for Millimeter Wave MIMO Systems

Two-Stage Hybrid Precoding Algorithm Based on Switch Network for Millimeter Wave MIMO Systems

... precoding algorithm in [7] reformulates the hybrid precoding problem as a sparse reconstruction problem and solves it by the orthogonal matching pursuit ...precoding algorithm in [8] involves an iterative ...

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Ontology development of metacognitive support system for novice programmers (MSSNP)

Ontology development of metacognitive support system for novice programmers (MSSNP)

... In order to answer the competency questions, classes alone will not be sufficient to provide the information. Once the classes have been identified, the concept’s internal structure must be described. In step 3, we have ...

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