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 Subjects -> ENGINEERING (Total: 2118 journals)     - CHEMICAL ENGINEERING (179 journals)    - CIVIL ENGINEERING (159 journals)    - ELECTRICAL ENGINEERING (89 journals)    - ENGINEERING (1163 journals)    - ENGINEERING MECHANICS AND MATERIALS (341 journals)    - HYDRAULIC ENGINEERING (54 journals)    - INDUSTRIAL ENGINEERING (54 journals)    - MECHANICAL ENGINEERING (79 journals) ENGINEERING (1163 journals)            First | 3 4 5 6 7 8 9 10 | Last
 Journal of Advanced Manufacturing Systems       (Followers: 5) Journal of Aerosol Science       (Followers: 1) Journal of Aerospace Engineering       (Followers: 208) Journal of Alloys and Compounds       (Followers: 8) Journal of Analytical and Applied Pyrolysis       (Followers: 3) Journal of Analytical Science & Technology       (Followers: 4) Journal of Analytical Sciences, Methods and Instrumentation       (Followers: 1) Journal of Applied Analysis Journal of Applied and Industrial Sciences Journal of Applied Logic Journal of Applied Physics       (Followers: 225) Journal of Applied Probability       (Followers: 6) Journal of Applied Research and Technology Journal of Applied Science and Technology Journal of Applied Sciences       (Followers: 5) Journal of Architectural Engineering       (Followers: 6) Journal of ASTM International       (Followers: 3) Journal of Automation and Control       (Followers: 1) Journal of Aviation Technology and Engineering       (Followers: 6) Journal of Biological Dynamics       (Followers: 1) Journal of Biomedical Science       (Followers: 3) Journal of Biomolecular NMR       (Followers: 4) Journal of Biosciences Journal of Catalysis       (Followers: 6) Journal of Catalyst & Catalysis Journal of Central South University Journal of China Coal Society Journal of China Universities of Posts and Telecommunications       (Followers: 2) Journal of China University of Mining and Technology Journal of Cleaner Production       (Followers: 16) Journal of Coal Science and Engineering (China) Journal of Cold Regions Engineering       (Followers: 3) Journal of Combinatorial Designs       (Followers: 3) Journal of Combustion       (Followers: 6) Journal of Communications       (Followers: 18) Journal of Complex Systems       (Followers: 1) Journal of Computational and Nonlinear Dynamics       (Followers: 5) Journal of Computational and Theoretical Nanoscience       (Followers: 1) Journal of Computational Biology       (Followers: 6) Journal of Computational Electronics       (Followers: 3) Journal of Computational Engineering Journal of Computing and Information Science in Engineering       (Followers: 2) Journal of Coupled Systems and Multiscale Dynamics Journal of Dairy Science       (Followers: 15) Journal of Display Technology       (Followers: 2) Journal of Dynamic Systems, Measurement, and Control       (Followers: 12) Journal of Dynamical and Control Systems       (Followers: 3) Journal of Earthquake Engineering       (Followers: 8) Journal of Elasticity       (Followers: 2) Journal of Electroceramics Journal of Electromagnetic Waves and Applications       (Followers: 3) Journal of Electronic Imaging       (Followers: 2) Journal of Electronic Testing       (Followers: 1) Journal of Electronics Cooling and Thermal Control       (Followers: 1) Journal of Electrostatics       (Followers: 1) Journal of Energy Engineering       (Followers: 8) Journal of Energy Resources Technology       (Followers: 6) 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: 15) Journal of Engineering Education       (Followers: 1) Journal of Engineering Entrepreneurship, The       (Followers: 3) Journal of Engineering for Gas Turbines and Power       (Followers: 11) 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: 15) Journal of Environmental & Engineering Geophysics Journal of Environmental Engineering       (Followers: 28) Journal of Environmental Engineering and Landscape Management       (Followers: 7) Journal of Experimental Nanoscience       (Followers: 3) Journal of Fire Sciences       (Followers: 2) Journal of Flood Risk Management       (Followers: 7) Journal of Fluids Engineering       (Followers: 15) 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 Geo-Engineering Science Journal of Geological Research       (Followers: 1) Journal of Geotechnical and Geoenvironmental Engineering       (Followers: 18) Journal of Global Optimization       (Followers: 4) Journal of Green Science and Technology Journal of Guidance, Control, and Dynamics       (Followers: 73) Journal of Healthcare Engineering       (Followers: 2) Journal of Heat Transfer       (Followers: 27) Journal of Humanitarian Engineering       (Followers: 1) Journal of Hydraulic Engineering       (Followers: 15) Journal of Hyperspectral Remote Sensing       (Followers: 1) Journal of Imaging Science and Technology Journal of Industrial and Production Engineering       (Followers: 3) 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 Mathematical Modelling and Algorithms   [SJR: 0.358]   [H-I: 19]   [4 followers]  Follow         Hybrid journal (It can contain Open Access articles)    ISSN (Print) 1570-1166 - ISSN (Online) 1572-9214    Published by Springer-Verlag  [2302 journals]
• An Adaptive Trust Region Method Based on Simple Conic Models
• Abstract: Abstract A new adaptive trust region algorithm with simple conic models is proposed. By use of the simple conic model, the new method needs less memory capacitance and computational complexity. The nonmonotone and adaptive techniques are introduced to improve the efficiency of the proposed algorithm. The convergence results of the method are proved under certain conditions. Numerical tests show that the new algorithm is efficient and robust.
PubDate: 2015-03-26

• A New Search Procedure for the Two-dimensional Orthogonal Packing Problem
• Abstract: Abstract In this paper we propose a new exact procedure for the two-dimensional orthogonal packing problem, based on F. Clautiaux et al. approach (Clautiaux et al. Eur. J. Oper. Res. 183(3), 1196–1211, 2007). The principle consists in searching first the positions of the items on the horizontal axis, so as that, at each position, the sum of the heights of the items does not exceed the height of the bin. Each time a valid placement of all the items is encountered, another procedure determines if it can be extended to a solution of the packing problem, searching the positions of the items on the vertical axis. Novel aspects of our approach include a simple and efficient search procedure, which only generates restricted placements, at least in a first stage, in order to reduce the search space, and the memorization of unsuccessful configurations, which are then used to detect dead-ends. We tested our implementation on a selection of orthogonal packing problems and strip packing problems, and we compared our results with those of recent successful approaches.
PubDate: 2015-03-14

• Solving the Nonlinear Power Flow Problem Through General Solutions of
Under-determined Linearised Systems
• Abstract: Abstract This work focuses on the solution of a set of algebraic nonlinear equations representing the steady state operation of electrical power systems. The classical modelling of the so-called power flow problem requires the statement of the power balance equations and the specification of some network variables. Usually Newton method is applied to solve these equations, which requires the solution of a linear system at each iteration. Here, the formulation of the power flow problem is modified by increasing the number of variables to be computed, such that an under-determined linear system is solved at each iteration. This strategy imparts flexibility to obtain solutions with respect to selected performance indexes. Numerical results obtained with test-systems ranging from 26 to 1916 equations and 30 to 2013 variables illustrate the main features of the proposed application.
PubDate: 2015-03-08

• 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: 2015-03-01

• 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: 2015-03-01

• 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: 2015-03-01

• 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: 2015-03-01

• Optimal Preservation Technology Investment, Retail Price and Ordering
Policies for Deteriorating Items under Trended Demand and Two Level Trade
Credit Financing
• Abstract: Abstract This research analyzes the impact of deploying suitable preservation technology for an inventory system in which units are subject to constant rate of deterioration. The demand is considered to be function of time and retail price. It is assumed that the supplier offers a fixed credit period to the retailer and retailer also offers credit period to the customers. The goal is to maximize the total profit per unit time with respect to optimal investment to be made in preservation technology, retail price of an item and purchase quantity. The concavity of the total profit is validated using numerical example. The managerial issues are discussed.
PubDate: 2015-03-01

• ILIGRA: An Efficient Inverse Line Graph Algorithm
• Abstract: Abstract This paper presents a new and efficient algorithm, IligraLIGRA, for inverse line graph construction. Given a line graph H, ILIGRA constructs its root graph G with the time complexity being linear in the number of nodes in H. If ILIGRA does not know whether the given graph H is a line graph, it firstly assumes that H is a line graph and starts its root graph construction. During the root graph construction, ILIGRA checks whether the given graph H is a line graph and ILIGRA stops once it finds H is not a line graph. The time complexity of ILIGRA with line graph checking is linear in the number of links in the given graph H. For sparse line graphs of any size and for dense line graphs of small size, numerical results of the running time show that ILIGRA outperforms all currently available algorithms.
PubDate: 2015-03-01

• 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: 2015-03-01

• Solving Large 0–1 Multidimensional Knapsack Problems by a New
Simplified Binary Artificial Fish Swarm Algorithm
• Abstract: Abstract The artificial fish swarm algorithm has recently been emerged in continuous global optimization. It uses points of a population in space to identify the position of fish in the school. Many real-world optimization problems are described by 0–1 multidimensional knapsack problems that are NP-hard. In the last decades, several exact as well as heuristic methods have been proposed for solving these problems. In this paper, a new simplified binary version of the artificial fish swarm algorithm is presented, where a point/fish is represented by a binary string of 0/1 bits. Trial points are created by using crossover and mutation in the different fish behavior that are randomly selected by using two user defined probability values. In order to make the points feasible, the presented algorithm uses a random heuristic drop-item procedure followed by an add-item procedure aiming to increase the profit throughout the adding of more items in the knapsack. A cyclic reinitialization of 50 % of the population, and a simple local search that allows the progress of a small percentage of points towards optimality and after that refines the best point in the population greatly improve the quality of the solutions. The presented method is tested on a set of benchmark instances and a comparison with other methods available in literature is shown. The comparison shows that the proposed method can be an alternative method for solving these problems.
PubDate: 2015-02-28

• A New Bi-objective Location-routing Problem for Distribution of Perishable
Products: Evolutionary Computation Approach
• Abstract: Abstract Supply, manufacture, and distribution of perishable products are challenging jobs in supply chains. Location of warehouses and routing of vehicles are essential issues to distribute perishable products properly. In this paper, a new bi-objective mixed integer mathematical programming is proposed to reduce the total cost of the supply chain and to balance the workload of distribution centers while the due dates of delivery of perishable product are met, concurrently. The considered properties and constraints of proposed model made it well-posed to illustrate the real life situation. As the proposed model is NP-Hard, an evolutionary algorithm called Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) is customized to solve the problem. The structure of chromosome and genetic operators are customized for the problem. The performance of proposed NSGA-II and an efficient exact Multi-objective method, called ε-constraint, is compared using accuracy and diversity metrics on several benchmark instances.
PubDate: 2015-02-24

• Balking and Reneging Multiple Working Vacations Queue with Heterogeneous
Servers
• Abstract: Abstract This paper presents the analysis of a renewal input multiple working vacations queue with balking, reneging and heterogeneous servers. Whenever the system becomes empty the second server leaves for a working vacation whereas the first server remains idle in the system. During a working vacation the second server provides service at a slower rate rather than completely stopping service. The steady-state probabilities of the model are obtained using supplementary variable and recursive techniques. Various performance measures of the model such as expected system length, expected balking rate, etc., have been discussed. Finally, some numerical results have been presented to show the effect of model parameters on the system performance measures.
PubDate: 2015-01-23

• Multi-objective Compromise Allocation in Multivariate Stratified Sampling
Using Extended Lexicographic Goal Programming with Gamma Cost Function
• Abstract: Abstract In the present paper, a new Gamma cost function is proposed for an optimum allocation in multivariate stratified random sampling with linear regression estimator. Extended lexicographic goal programming is used for solution of multi-objective non-linear integer allocation problem. A real data set is used to illustrate the application.
PubDate: 2014-12-18

• Efficiency Improvement Strategy Under Constant Sum of Inputs
• Abstract: Abstract In this paper, we have formulated Data Envelopment Analysis (DEA) models to reduce the inputs in an inefficient Decision Making Unit (DMU) when the specific inputs are under the constant sum constraint. We have also extended the models to reallocate the excess input without any reduction in efficiency of other DMUs. These DEA models and methods developed in this work will help decision makers in developing an optimal strategy to transfer excess input to other DMUs. Theoretical results have been illustrated with the help of a case study.
PubDate: 2014-12-01

• Goal Directed Programming for Determining Process Efficiency Using Data
Envelopment Analysis
• Abstract: Abstract There are numerous measurement methods for process performance control. One of which, widely used in quality control programs, is process capability (C p ) index. The advantage of this index is due to the high amount of information extracted from it. Since C p is independent from a particular measurement unit it can be used to compare several quite different processes. While the relative efficiency of the process performance based on the C p for a period is satisfying, the process may lose efficiency in the next period for variety of reasons and could not keep up with the standard limits. The objective of this paper is to develop a new approach for measuring the relative efficiency of peer decision making units (DMUs) based upon process capability indices. A case study demonstrates the applicability of the proposed approach.
PubDate: 2014-12-01

• A Generic Interior-point Algorithm for Monotone Symmetric Cone Linear
Complementarity Problems Based on a New Kernel Function
• Abstract: Abstract Kernel functions play an important role in defining new search directions for interior-point algorithms for solving monotone linear complementarity problems. In this paper we present a new kernel function which yields the complexity bounds $${\mathcal O}(\sqrt{r}\log r\log\frac{r}{\epsilon})$$ and $${\mathcal O}(\sqrt{r}\log\frac{r}{\epsilon})$$ for large-and small-update methods, respectively, which are currently the best known bounds for such methods.
PubDate: 2014-12-01

• Preface
• PubDate: 2014-12-01

• A Large-Update Interior-Point Method for Cartesian P ∗ ( κ
)-LCP Over Symmetric Cones
• Abstract: Abstract In this paper, we propose a new large-update interior point algorithm for the Cartesian P ∗(κ) linear complementarity problem over symmetric cones (SCLCP) based on a parametric kernel function, which determines both search directions and the proximity measure between the iterate and the μ-center. Using Euclidean Jordan algebras, we derive the iteration bound that match the currently best known iteration bound for large update methods.
PubDate: 2014-12-01

• A new Hybrid Projection Algorithm for Solving the Split Generalized
Equilibrium Problems and the System of Variational Inequality Problems
• Abstract: Abstract In this paper, we introduced modified Mann iterative algorithms by the new hybrid projection method for finding a common element of the set of fixed points of a countable family of nonexpansive mappings, the set of the split generalized equilibrium problem and the set of solutions of the general system of the variational inequality problem for two-inverse strongly monotone mappings in real Hilbert spaces. The strong convergence theorem of the iterative algorithm in Hilbert spaces under certain mild conditions are provided.
PubDate: 2014-10-03

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