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Mixed-Integer Linear

Optimization of the Water Distribution Networks with Differential Evolution (DE) and Mixed Integer Linear Programming (MILP)

Optimization of the Water Distribution Networks with Differential Evolution (DE) and Mixed Integer Linear Programming (MILP)

... In this paper, DE algorithm is developed to obtain the optimum pipe size and inlet pressure head that produce the least cost design of Shahinezhad et al. [30] networks. In this study, the hydraulic analysis of the ...

15

Realistic modeling of a combined heat and power plant in the context of mixed integer linear programming

Realistic modeling of a combined heat and power plant in the context of mixed integer linear programming

... In addition to renewable energy sources, the transition of the German energy system will increasingly involve the use of decentralized combined heat and power plants (CHP). In order to use this promising technology ...

9

Methods And Solvers Used For Solving Mixed Integer Linear Programming And Mixed Nonlinear Programming Problems: A Review

Methods And Solvers Used For Solving Mixed Integer Linear Programming And Mixed Nonlinear Programming Problems: A Review

... deterministic mixed -integer linear program (MILP) and mixed-integer nonlinear program (MINLP) solution methods for problems involving linear, nonlinear, convex and nonconvex ...

11

Resource Allocation Model in Cloud Computing Using Mixed Integer Linear Program

Resource Allocation Model in Cloud Computing Using Mixed Integer Linear Program

... ABSTRACT:In base paper work a cost tradeoff between buyer and seller is achieved in an efficient way. In cost tradeoff, an obstacle lies in the uncertainty of computational resource cost. In spot market, the cost of the ...

5

A Mixed Integer Linear Programming Model to Regulate the Electricity Sector

A Mixed Integer Linear Programming Model to Regulate the Electricity Sector

... This paper introduces the concept of market design and make the distinction between the three different levels of market design such as industry structure, wholesale and marketplace design. We present a ...

36

Two-Group MultiODA: A Mixed-Integer Linear Programming Solution with Bounded M

Two-Group MultiODA: A Mixed-Integer Linear Programming Solution with Bounded M

... a mixed-integer linear programming ...for mixed-integer program- ming to handle strict inequalities (mixed-integer techniques based upon interior-point algorithms 4 may ...

8

A mixed integer linear programming approach to forest utilisation management problems

A mixed integer linear programming approach to forest utilisation management problems

... area for management units that arise in a model I or model II formulation are termed structural constraints, whereas those constraints that integrate the flow of resources from managemen[r] ...

245

A Two Stage Stochastic Programming Model of the Price Decision Problem in the Dual-channel Closed-loop Supply Chain

A Two Stage Stochastic Programming Model of the Price Decision Problem in the Dual-channel Closed-loop Supply Chain

... single-product Mixed Integer Linear Programming (MILP) for integration of their logistic ...possibilistic mixed integer-programming ...

8

A multi-objective robust optimization model for a facility location-allocation problem in a supply chain under uncertainty

A multi-objective robust optimization model for a facility location-allocation problem in a supply chain under uncertainty

... The LP-metric method is one of the well-known MCDM methods for solving multi-objective problems with conflicting objectives simultaneously. We use this method to solve the proposed multi-objective ...

12

The Linear Formulation of Thermal Unit Commitment Problem with Uncertainties through a Computational Mixed Integer

The Linear Formulation of Thermal Unit Commitment Problem with Uncertainties through a Computational Mixed Integer

... efficient mixed-integer linear software, has been proposed and currently available with a large scale capability and optimized as a commercial ...

15

A low complexity heuristic to solve a learning objects recommendation problem

A low complexity heuristic to solve a learning objects recommendation problem

... classical mixed-integer linear programming model and classical genetic algorithm in varying dataset sizes that contain from 2000 to 1360000 learning ...the linear optimization ...

17

Variations in the efficiency of a mathematical programming solver according to the order of the constraints in the model

Variations in the efficiency of a mathematical programming solver according to the order of the constraints in the model

... the mixed integer linear mathematical programming depends not only on the model used, but also on how the information is introduced into the ...

12

Applications of inexact programming methods to waste management under uncertainty: current status and future directions

Applications of inexact programming methods to waste management under uncertainty: current status and future directions

... multi-objective mixed integer programming (FIMOMIP) model to evaluate sustainable management strategies for solid waste management in a metropolitan ...fuzzy-stochastic linear programming model and ...

15

A New Procedure for Reactive Power Market Clearing Considering Distributed Energy Resources

A New Procedure for Reactive Power Market Clearing Considering Distributed Energy Resources

... known Benders decomposition technique is applied in this paper. Accordingly, the resulted MINLP optimization problem is handled by decomposing the problem into two levels. The first level (master problem) is a ...

10

Lot Sizing in Production Scheduling at a Personal Protection Equipment Company

Lot Sizing in Production Scheduling at a Personal Protection Equipment Company

... This work presents an optimization model to support decisions during production planning and control in the personal protective equipment (PPE) industry (in par- ticular, gloves). A case study was carried out at a ...

10

Vol 2, No 4 (2011)

Vol 2, No 4 (2011)

... Mixed integer linear programming is linear programming which require some or all of the variables to be ...fuzzy linear programming (FLP) was introduced and studied by many researchers, ...

6

On the assignment of non teaching tasks to reduce teachers' work pressure

On the assignment of non teaching tasks to reduce teachers' work pressure

... Before the start of every school year, it is common at many secondary school units in the Netherlands to distribute a list of non-teaching tasks to the teachers. Teachers select the tasks that they prefer the most and ...

62

Dynamic Bandwidth Optimization for Coordinated Arterial.

Dynamic Bandwidth Optimization for Coordinated Arterial.

... An enhanced MAXBAND formulation is introduced to overcome the potential for the MAXBAND family of bandwidth optimization mixed-integer linear programs (MILPs) to yield suboptimal solut[r] ...

238

Grouping and Sequencing of Machining Operations for High Volume Transfer Lines

Grouping and Sequencing of Machining Operations for High Volume Transfer Lines

... Tolio and Urgo (7) present a mixed integer linear program to consider design of flexible transfer lines. The equipment cost for a multi-model rotary transfer line is minimized while respecting design ...

171

A Novel Method for Designing and Optimization of Networks

A Novel Method for Designing and Optimization of Networks

... using mixed-integer programming, in which the objective function contains both capital cost represented in its discrete form and the transmission loss cost in a linear ...the ...

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