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 Journal of Aviation Technology and Engineering       (Followers: 6) Journal of Biological Dynamics       (Followers: 1) Journal of Biomedical Science       (Followers: 2) Journal of Biomolecular NMR       (Followers: 4) Journal of Biosciences Journal of Catalysis       (Followers: 6) Journal of Central South University Journal of China Universities of Posts and Telecommunications       (Followers: 2) Journal of China University of Mining and Technology Journal of Cleaner Production       (Followers: 11) Journal of Coal Science and Engineering (China) Journal of Cold Regions Engineering       (Followers: 3) Journal of Combinatorial Designs       (Followers: 2) Journal of Combustion       (Followers: 6) Journal of Communications       (Followers: 17) Journal of Complex Systems Journal of Computational and Nonlinear Dynamics       (Followers: 4) Journal of Computational and Theoretical Nanoscience       (Followers: 1) Journal of Computational Biology       (Followers: 6) Journal of Computational Electronics       (Followers: 1) Journal of Computational Engineering Journal of Computing and Information Science in Engineering       (Followers: 2) Journal of Dairy Science       (Followers: 14) Journal of Display Technology       (Followers: 2) Journal of Dynamic Systems, Measurement, and Control       (Followers: 7) Journal of Dynamical and Control Systems       (Followers: 3) Journal of Earthquake Engineering       (Followers: 6) Journal of Elasticity       (Followers: 2) Journal of Electroceramics Journal of Electromagnetic Waves and Applications       (Followers: 2) Journal of Electronic Imaging       (Followers: 2) Journal of Electronic Testing       (Followers: 1) Journal of Electronics Cooling and Thermal Control       (Followers: 1) Journal of Electrostatics Journal of Energy Engineering       (Followers: 7) Journal of Energy Resources Technology       (Followers: 5) Journal of Engineering Journal of Engineering and Computer Innovations Journal of Engineering and Technology       (Followers: 5) Journal of Engineering and Technology Research Journal of Engineering Design       (Followers: 13) Journal of Engineering Education Journal of Engineering Entrepreneurship, The       (Followers: 3) Journal of Engineering for Gas Turbines and Power       (Followers: 9) Journal of Engineering Mathematics Journal of Engineering Mechanics       (Followers: 12) Journal of Engineering Physics and Thermophysics Journal of Engineering Thermophysics Journal of Engineering, Computers and Applied Sciences Journal of Engineering, Design and Technology       (Followers: 13) Journal of Environmental & Engineering Geophysics Journal of Environmental Engineering       (Followers: 23) Journal of Environmental Engineering and Landscape Management       (Followers: 7) Journal of Experimental Nanoscience       (Followers: 3) Journal of Fire Sciences       (Followers: 1) Journal of Flood Risk Management       (Followers: 7) Journal of Fluids Engineering       (Followers: 12) Journal of Fourier Analysis and Applications Journal of Fuel Cell Science and Technology       (Followers: 2) Journal of Functional Analysis       (Followers: 1) Journal of Fundamental and Applied Sciences Journal of Geological Research       (Followers: 1) Journal of Geotechnical and Geoenvironmental Engineering       (Followers: 14) Journal of Global Optimization       (Followers: 4) Journal of Guidance, Control, and Dynamics       (Followers: 52) Journal of Healthcare Engineering       (Followers: 2) Journal of Heat Transfer       (Followers: 24) Journal of Humanitarian Engineering       (Followers: 1) Journal of Hydraulic Engineering       (Followers: 14) Journal of Hyperspectral Remote Sensing       (Followers: 1) Journal of Imaging Science and Technology Journal of Industrial and Production Engineering       (Followers: 2) Journal of Industrial Engineering and Management       (Followers: 4) Journal of Inequalities and Applications Journal of Infrared, Millimeter and Terahertz Waves       (Followers: 1) Journal of Integrated Design and Process Science       (Followers: 1) Journal of Intelligent and Fuzzy Systems       (Followers: 9) Journal of Inverse and Ill-posed Problems       (Followers: 1) Journal of Irrigation and Drainage Engineering       (Followers: 10) Journal of K-Theory Journal of King Saud University - Engineering Sciences Journal of Konbin Journal of Liquid Chromatography & Related Technologies       (Followers: 9) Journal of Management in Engineering       (Followers: 9) Journal of Manufacturing Science and Engineering       (Followers: 11) Journal of Manufacturing Systems       (Followers: 7) Journal of Manufacturing Technology Management       (Followers: 5) Journal of Mathematical Modelling and Algorithms       (Followers: 1) Journal of Metallurgy       (Followers: 1) Journal of Middle European Construction and Design of Cars       (Followers: 1) Journal of Molecular Catalysis B: Enzymatic Journal of Motor Behavior       (Followers: 6) Journal of Multivariate Analysis       (Followers: 4) Journal of Nanoengineering and Nanomanufacturing       (Followers: 1) Journal of Nanoparticle Research       (Followers: 3) Journal of Nanoscience Journal of Nanoscience and Nanotechnology       (Followers: 11) Journal of NanoScience, NanoEngineering & Applications Journal of Nanotechnology       (Followers: 2) Journal of Nanotechnology in Engineering and Medicine       (Followers: 5)
 Journal of Mathematical Modelling and Algorithms    [3 followers]  Follow        Hybrid journal (It can contain Open Access articles)      ISSN (Print) 1570-1166 - ISSN (Online) 1572-9214      Published by Springer-Verlag  [2210 journals]   [SJR: 0.264]   [H-I: 15]
• An Optimal Chance Constraint Multivariate Stratified Sampling Design Using
Auxiliary Information
• Abstract: Abstract When we are dealing with multivariate problem then we need an allocation which is optimal for all the characteristics in some sense because the individual optimum allocations usually differ widely unless the characteristics are highly correlated. So an allocation called “Compromise allocation” is to be worked out suggested by Cochran. When auxiliary information is also available, it is customary to use it to increase the precision of the estimates. Moreover, for practical implementation of an allocation, we need integer values of the sample sizes. In the present paper the problem is to determine the integer optimum compromise allocation when the population means of various characteristics are of interest and auxiliary information is available for the separate and combined ratio and regression estimates. This paper considers the optimum compromise allocation in multivariate stratified sampling with non-linear objective function and probabilistic non-linear cost constraint. The probabilistic non-linear cost constraint is converted into equivalent deterministic one by using Chance Constrained programming. The formulated multi-objective nonlinear programming problem is solved by Fuzzy Goal programming approach and Chebyshev approximation. Numerical illustration is also given to show the practical utility of the approaches.
PubDate: 2014-09-01

• Mixed Type Duality in Multiobjective Fractional Programming Under
Generalized ρ-univex Function
• Abstract: Abstract In this paper, three approaches given by Dinklebaeh (Manag Sci 13(7):492–498, 1967) and Jagannathan (Z Oper Res 17:618–630, 1968) for both primal and mixed type dual of a non differentiable multiobjective fractional programming problem in which the numerator of objective function contains square root of positive semi definite quadratic form are introduced. Also, the necessary and sufficient conditions of efficient solution for fractional programming are established and a parameterizations technique is used to established duality results under generalized ρ-univexity assumption.
PubDate: 2014-09-01

• Optimum Allocation in Multivariate Stratified Random Sampling: A Modified
Prékopa’s Approach
• Abstract: Abstract Considering the possible correlation between the characteristics (variables) in multivariate stratified random sampling, a modified Prékopa’s approach is suggested for the problem of optimum allocation in multivariate stratified random sampling. An example is solved by applying the proposed methodology.
PubDate: 2014-09-01

• An Iterated Local Search for the Budget Constrained Generalized Maximal
Covering Location Problem
• Abstract: Abstract Capacitated covering models aim at covering the maximum amount of customers’ demand using a set of capacitated facilities. Based on the assumptions made in such models, there is a unique scenario to open a facility in which each facility has a pre-specified capacity and an operating budget. In this paper, we propose a generalization of the maximal covering location problem, in which facilities have different scenarios for being constructed. Essentially, based on the budget invested to construct a given facility, it can provide different service levels to the surrounded customers. Having a limited budget to open the facilities, the goal is locating a subset of facilities with the optimal opening scenario, in order to maximize the total covered demand and subject to the service level constraint. Integer linear programming formulations are proposed and tested using ILOG CPLEX. An iterated local search algorithm is also developed to solve the introduced problem.
PubDate: 2014-09-01

• The Two-stage Assembly Flow Shop Scheduling with an Availability
Constraint: Worst Case Analysis
• Abstract: Abstract In this paper, we are interested in handling the limited availability of machines in the two-stage assembly flow shop scheduling problems. Emphasis is put on the semiresumable case with respect to the minimization of the makespan. We provide, when possible, heuristics with a tight worst-case ratio bound of 2.
PubDate: 2014-09-01

• Revenue Models and Policies for the Car Rental Industry
• Abstract: Abstract In this paper, we consider the application of revenue management techniques in the context of the car rental industry. In particular, the paper presents a dynamic programming formulation for the problem of assigning cars of several categories to different segments of customers, with rental requests arising dynamically and randomly with time. Customers make a rental request for a given type of car, for a given number of days at a given pickup time. The rental firm can satisfy the demand for a given product with either the product requested or with a car of at most one category superior to that initially required, in this case an “upgrade” can take place. The one-way rental scenario, which allows the possibility of the rental starting and ending at different locations, is also addressed. In the framework considered, the logistic operator has to decide whether to accept or reject a rental request. Since the proposed dynamic programming formulations are impractical due to the curse of dimensionality, linear programming approximations are used to derive revenue management decision policies for the operator. Indeed, primal and dual acceptance policies are developed (i.e. booking limits, bid prices) and their effectiveness is assessed on the basis of an extensive computational phase.
PubDate: 2014-09-01

• A Recursive Algorithm for State Dependent        class="a-plus-plus">GI/       class="a-plus-plus">M/1/       class="a-plus-plus">N
Queue with Bernoulli-Schedule Vacation
• Abstract: Abstract In this paper, we study a renewal input working vacations queue with state dependent services and Bernoulli-schedule vacations. The model is analyzed with single and multiple working vacations. The server goes for exponential working vacation whenever the queue is empty and the vacation rate is state dependent. At the instant of a service completion, the vacation is interrupted and the server resumes a regular busy period with probability 1 − q (if there are customers in the queue), or continues the vacation with probability q (0 ≤ q ≤ 1). We provide a recursive algorithm using the supplementary variable technique to numerically compute the stationary queue length distribution of the system. Finally, using some numerical results, we present the parameter effect on the various performance measures.
PubDate: 2014-09-01

• Second-Order Nondifferentiable Multiobjective Mixed Symmetric Dual
Programs Over Cones
• Abstract: Abstract In this paper, a pair of second-order mixed symmetric nondifferentiable multiobjective dual programs over arbitrary cones where each of the objective functions contains a pair of support functions is considered. Further, weak, strong and converse duality theorems are established under the assumptions of second-order K- (F,ρ)-convexity. Moreover, we have illustrated a numerical example which is second-order K- (F,ρ)-convex but not second-order F-convex. Several special cases are also obtained.
PubDate: 2014-06-18

• Image-Filtering and Optimization of Rainy Cells
• Abstract: Abstract This paper deals with the identification and elimination of ground echoes in radar images using their textural features. The images collected in Setif (Algeria) by a non Doppler radar, are processed. Two kinds of texture-based techniques have been considered, consisting in calculating either the histograms of their sum and difference or the pattern recognition. Energy and local homogeneity are found to be the textural parameters that clearly separate the precipitation and ground echoes. To get only the rainfall echoes, the resulting template is applied to each of the raw radar images and the filtering is improved by removing the residual clutter with pattern recognition. This method allows as to completely removing the ground clutter with minimal alterations of the rain echoes with reduced calculation time. It has the advantages of effectiveness and simplicity. However, when there is overlap of precipitation echoes with the ground echoes, significant small cells may occur. In this case, these cells are restored by interpolating from neighboring pixels with a regularization function. The application of this optimization algorithm of filtered images can effectively reproduce true structure of clouds. The radar images can be processed in real-time because the computation time needed by these techniques is small.
PubDate: 2014-06-10

• Integer Fuzzy Programming Approach in Bi-objective Selective Maintenance
Allocation Problem
• Abstract: Abstract An attempt has been made to obtain a compromise allocation based on maximization of individual reliabilities of repairable and replaceable components with in the subsystems, using the information of failed and operational components and a non linear cost function with fixed budget. A solution algorithm of fuzzy programming technique is used to solve the Bi-Objective Selective Maintenance Allocation Problem (BSMAP). Also, the problem has been solved by two other suggested methods; “Weighted Criterion Technique” and “Desirability Function Technique”. A numerical example is also presented to illustrate the computational details.
PubDate: 2014-06-01

• Generalized Integral Transforms with the Homotopy Perturbation Method
• Abstract: Abstract This paper applies He’s homotopy perturbation method to compute a large variety of integral transforms. The Esscher, Fourier, Hankel, Laplace, Mellin and Stieljes integrals transforms are particular cases of our generalized integral transform. Our method is of practical importance in order to derive new integration formulae, to approximate certain difficult integrals as well as to calculate the expectation of certain nonlinear functions of random variable.
PubDate: 2014-06-01

• Encoding Binary Arithmetic Operations in Integer Programming Formulations
• Abstract: Abstract This paper presents the encoding of binary arithmetic operations within Integer Programming (IP) formulations, specifically the encoding of binary multiplication and addition/subtraction. This allows the direct manipulation of integer quantities represented as binary strings of arbitrary size. Many articles published in the past within the Chemical Engineering community have used this representation of integer quantities within Mixed-Integer formulations for Process Optimization and Design. Applications such as these can benefit from the formulations derived in this work. As a demonstrative application we consider the simple number factorization problem, according to which given an odd number C factors A and B are to be found such that C equals their product. If any such factors are found the number is factorable, else it is proven to be prime. An IP formulation is derived involving upper and lower bounding logical constraints to encode for the value of the binary string digits. The formulation involves $${\cal O}(\log C)$$ binary variables, $${\cal O}((\log C)^{2})$$ continuous variables, and $${\cal O}((\log C)^{2})$$ constraints to describe the problem. Computational results demonstrate the validity of this approach, highlighting also the fact that such formulations are not very tight thus resulting in large numbers of iterations of the Branch and Bound algorithm used. It is also observed that the formulations become significantly tighter if logical upper bounding constraints forcing continuous variables involved to be zero are included.
PubDate: 2014-06-01

• A Heuristic Algorithm for the Earliest Arrival Flow with Multiple Sources
• Abstract: Abstract This paper presents a heuristic algorithm for the earliest arrival flow problem. Existing exact algorithms, even polynomial in the output size, contain submodular function optimization as a frequently called subroutine, and thus are not practical in real-life applications. In this paper we propose an algorithm that does not involve the submodular function optimization. Although solving an EAF near-optimal, the algorithm is remarkably simple and efficient as it only involves shortest path computations on a static network. A numerical example illustrates how the algorithm works. As an application, we demonstrate the algorithm’s solution quality and computational performance by solving a real-size network.
PubDate: 2014-06-01

• Higher-Order Duality for Multiobjective Programming Problems Involving
(       class="a-plus-plus">F,
class="a-plus-plus">α,
class="a-plus-plus">ρ,
class="a-plus-plus">d)-V-Type
I Functions
• Abstract: Abstract A class of functions called higher-order (F, α, ρ, d)-V-type I functions and their generalizations is introduced. Using the assumptions on the functions involved, weak, strong and strict converse duality theorems are established for higher-order Wolfe and Mond-Weir type multiobjective dual programs in order to relate the efficient solutions of primal and dual problems.
PubDate: 2014-06-01

• A Full-Newton Step Infeasible Interior-Point Algorithm Based on Darvay
Directions for Linear Optimization
• Abstract: Abstract We present a full-Newton step primal-dual infeasible interior-point algorithm based on Darvay’s search directions. These directions are obtained by an equivalent algebraic transformation of the centering equation. The algorithm decreases the duality gap and the feasibility residuals at the same rate. During this algorithm we construct strictly feasible iterates for a sequence of perturbations of the given problem and its dual problem. Each main iteration of the algorithm consists of a feasibility step and some centering steps. The starting point in the first iteration of the algorithm depends on a positive number ξ and it is strictly feasible for a perturbed pair, and feasibility steps find strictly feasible iterate for the next perturbed pair. By using centering steps for the new perturbed pair, we obtain strictly feasible iterate close to the central path of the new perturbed pair. The algorithm finds an ϵ-optimal solution or detects infeasibility of the given problem. The iteration bound coincides with the best known iteration bound for linear optimization problems.
PubDate: 2014-06-01

• Higher Order Fractional Symmetric Duality Over Cone Constraints
• Abstract: Abstract In this paper, a pair of Mond-Weir type higher order fractional symmetric dual program over cone constraints is formulated. Under higher order invexity assumptions, we prove weak, strong and strict duality theorems. Moreover, a self dual program is formulated and self duality theorem is discussed.
PubDate: 2014-05-21

• Mathematical Modeling and Computational Algorithm to Solve Multi-Echelon
Multi-Constraint Inventory Problem with Errors in Quality Inspection
• Abstract: Abstract In this research an integrated production-distribution inventory model is developed for a single-vendor single-buyer supply chain system with the consideration of quality inspection errors at the buyer’s end, the buyer’s warehouse has limited capacity and there is an upper bound on the purchase of products. Mathematical modeling is employed in this study for optimizing the replenishment lot-size and total number of deliveries from the vendor to the buyer in one production run with the objective of minimizing integrated expected total cost of the system while satisfying the constraints. We show that the model of this problem is a constrained non-linear programme and propose a simple Lagrangian multiplier algorithmic technique to solve it. The computational effort and time are small for the proposed algorithm and it is simple to implement. A numerical example is given to demonstrate the application and the performance of the proposed methodology. In addition, sensitivity analysis has been carried out to illustrate the behaviors of the proposed model and some managerial insights are also included.
PubDate: 2014-05-18

• An Adaptive Infeasible Interior-Point Algorithm with Full Nesterov-Todd
Step for Semidefinite Optimization
• Abstract: Abstract We present an adaptive full Nesterov-Todd step infeasible interior-point method for semidefinite optimization. The proposed algorithm requires two types of full Nesterov-Todd steps are called, feasibility steps and centering steps, respectively. At each iteration both feasibility and optimality are reduced exactly at the same rate. In each iteration of the algorithm we use the largest possible barrier parameter value θ. The value θ varies from iteration to iteration and it lies between the two values $\frac {1}{4n}$ and $\frac {1}{5n}$ , which results a faster algorithm.
PubDate: 2014-05-16

• Derivative-Free Augmented Lagrangian for Global Optimization: Cost
Minimization in a Simplified Activated Sludge System Model
• Abstract: Abstract A methodology for finding the optimal values of the decision variables from an efficient simplified mathematical model of an activated sludge system is addressed in this paper. The work herein presented arises in a wastewater treatment plant design context, where investment and operational costs are to be minimized and computational effort is to be reduced. To achieve the best design, a non-linear optimization solution method based on an augmented Lagrangian approach is proposed. At each iteration, a subproblem is globally solved by a derivative-free recursive branching technique, known as the multilevel coordinate search algorithm of Huyer and Neumaier [20]. The presented technique has been shown to work quite well when solving the herein proposed non-convex and non-smooth constrained optimization model. The numerical results show the reliability of the obtained solutions at a reduced computational cost.
PubDate: 2014-05-13

• Generalized Multiobjective Evolutionary Algorithm Guided by Descent
Directions
• Abstract: Abstract This paper proposes a generalized descent directions-guided multiobjective algorithm (DDMOA2). DDMOA2 uses the scalarizing fitness assignment in its parent and environmental selection procedures. The population consists of leader and non-leader individuals. Each individual in the population is represented by a tuple containing its genotype as well as the set of strategy parameters. The main novelty and the primary strength of our algorithm is its reproduction operator, which combines the traditional local search and stochastic search techniques. To improve efficiency, when the number of objective is increased, descent directions are found only for two randomly chosen objectives. Furthermore, in order to increase the search pressure in high-dimensional objective space, we impose an additional condition for the acceptance of descent directions found for leaders during local search. The performance of the proposed approach is compared with those produced by representative state-of-the-art multiobjective evolutionary algorithms on a set of problems with up to 8 objectives. The experimental results reveal that our algorithm is able to produce highly competitive results with well-established multiobjective optimizers on all tested problems. Moreover, due to its hybrid reproduction operator, DDMOA2 demonstrates superior performance on multimodal problems.
PubDate: 2014-05-12

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