In this paper, a hybrid method for solving multi-objective problem has been provided. The proposed method is combining the ε-Constraint and the Cuckoo algorithm. First the multi objective problem transfers into a single-objective problem using ε-Constraint, then the Cuckoo optimization algorithm will optimize the problem in each task. At last the optimized Pareto frontier will be drawn. The adv...

Augmented shared workspaces are an instance of augmented reality which move the collaborative work from the desktop to the real workplace, enabling higher interaction level with coworkers and allowing implementation of advanced techniques of human-machine interfaces. In this paper, we advocate the employment of a constraint system as the document model (or program) for the implementation of aug...

MapReduce (MR) algorithms for maximizing monotone, submodular functions subject to a cardinality constraint (SMCC) are currently restricted the use of linear-adaptive (non-parallelizable) algorithm GREEDY. Low-adaptive do not satisfy requirements these distributed MR frameworks, thereby limiting their performance. We study SMCC problem in setting and propose first with sublinear adaptive comple...

We give algorithms for approximation by low-rank positive semidefinite (PSD) matrices. For symmetric input matrix A ∈ Rn×n, target rank k, and error parameter ε > 0, one algorithm finds with constant probability a PSD matrix Ỹ of rank k such that ‖A− Ỹ ‖2F ≤ (1+ε)‖A−Ak,+‖ 2 F , where Ak,+ denotes the best rank-k PSD approximation to A, and the norm is Frobenius. The algorithm takes time O(nnz(A...

Hepatitis B virus (HBV) pregenomic RNA contains a hairpin structure (ε) located in the preCore region, essential for viral replication. ε stability is enhanced by the presence of preCore variants and ε is recognized by the HBV polymerase (Pol). Mutations in the retrotranscriptase domain (YMDD) of Pol are associated with treatment resistance. The aim of this study was to analyze the preCore regi...

this study investigated the efficiency of wheat farms in sistan province. the data consisted of 50 samples from crop producers in the sistan region. using the simple sampling method, the data was collected by completing the questionnaires. to evaluate the farm efficiencies, the two approaches of the “data envelopment analysis” and the “optimization model including parameters to control for the ...

Multi-objective reinforcement learning involves the use of techniques to address problems with multiple objectives. To resolve this, we a hybrid multi-objective optimization method that provides mathematical guarantee all policies belonging Pareto Front can be found. The hybridization gave rise Q-Managed, which is given by ε−constraint and Q-Learning algorithm, where first limits environment dy...

We focus on the minimal time control problem for single-input control-affine systems ẋ = X(x) + u1Y1(x) in IR with fixed initial and final time conditions x(0) = x̂0, x(t f ) = x̂1, and where the scalar control u1 satisfies the constraint |u1(·)| 6 1. For these systems a concept of conjugate time tc has been defined in e.g. [3, 30, 33] in the bang-bang case. Besides, theoretical and practical iss...

Based on a general methodology using natural co-ordinates, a three-dimensional whole body response model for the articulated human body is presented in this paper. The joints between biomechanical segments are defined by forcing adjacent bodies to share common points and vectors that are used in their definition. A realistic relative range of motion for the body segments is obtained introducing...