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integer linear optimization problem

Two-Stage Stochastic Mixed Integer Linear Optimization

Two-Stage Stochastic Mixed Integer Linear Optimization

... mixed integer linear optimization problem based on a discrete representation of the value function and show how that leads to a generalization of Benders’ ...master problem, however, ...

177

Solving nonlinear optimization problems with bipolar fuzzy relational equation constraints

Solving nonlinear optimization problems with bipolar fuzzy relational equation constraints

... constrained optimization problem based on this alternative ...an optimization problem can be further re- duced to a - integer linear optimization problem when it ...

10

Global optimization of mixed-integer polynomial programming problems: A new method based on Grobner Bases theory

Global optimization of mixed-integer polynomial programming problems: A new method based on Grobner Bases theory

... an optimization problem is obtained by solving the system of ...not linear, the system of equations becomes non-linear and generally, it is not possible to solve them analytically and ...the ...

15

Benchmarks for Current Linear and Mixed Integer Optimization Solvers

Benchmarks for Current Linear and Mixed Integer Optimization Solvers

... Discrete optimization is a very complex task and the improvement and future development of MILP solvers is of a high importance due to increasing applications of discrete ...

6

Optimization of Mixed-Integer Non-Linear Electricity Generation Expansion Planning Problem Based on Newly Improved Gravitational Search Algorithm

Optimization of Mixed-Integer Non-Linear Electricity Generation Expansion Planning Problem Based on Newly Improved Gravitational Search Algorithm

... GSA is a meta-heuristic optimization method introduced by Rashedi et al. [25] and is based on Newton’s law of gravity and mass interactions. GSA is initialized by random objects that are spread in the feasible ...

12

Prostitution in Thailand

Prostitution in Thailand

... mixed integer linear programming for the optimization of a hybrid renewable energy system with a battery energy storage system in residential microgrids in which the demand response of available ...

12

Cost-sensitive feature selection for support vector machines

Cost-sensitive feature selection for support vector machines

... The problem is written as an integer linear problem plus a quadratic convex problem for SVM with both linear and radial ...

25

A Review of Optimization Algorithms in Solving Hydro Generation Scheduling Problems

A Review of Optimization Algorithms in Solving Hydro Generation Scheduling Problems

... stochastic optimization of hydro operation and adjustable ...a linear time series model based on stochastic discharge that considers flood season and lag-one autocorrelation as well as the strategy of ...

21

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

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

... MINLP optimization problem is handled by decomposing the problem into two ...(master problem) is a mixed-integer linear problem and the second one is a nonlinear ...master ...

10

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

... The Dynamic programming is a way to solve problems of different variety of sizes, which can be easily changed to the model features of explicit utilities. The disadvantage of dynamic programming is that, it needs to ...

15

Multi-objective optimization model formulation for regional bus scheduling problem

Multi-objective optimization model formulation for regional bus scheduling problem

... mixed integer linear programming model based on Tchebycheff methods for VRP with a heterogeneous fleet was proposed by [9], in which the objectives of the model were to minimize the total internal costs, ...

15

On Reoptimizing Multi-Class Classifiers

On Reoptimizing Multi-Class Classifiers

... relaxed integer linear ...of linear fractional functions (SOLFF) as well as a quadratic ...this problem is highly discontinuous and thus more amenable to global optimization methods ...

18

Optimization over an integer efficient set of a Multiple Objective Linear Fractional Problem

Optimization over an integer efficient set of a Multiple Objective Linear Fractional Problem

... the problem of optimizing a real valued function over an efficient set of the Multiple Objective Linear Programming problem (MOLP) have attracted much attention because of their important applica- ...

17

An Optimization Model for Multi-period Multi-Product Multi-objective Production Planning

An Optimization Model for Multi-period Multi-Product Multi-objective Production Planning

... mixed integer linear programming (MILP) optimization model to solve the partner selection, and production planning problem in the design of manufacturing chains operating under a multi- ...

14

Automatic yield-line analysis of slabs using discontinuity layout optimization

Automatic yield-line analysis of slabs using discontinuity layout optimization

... the problem over the past few ...nonlinear optimization [9] and the second-order cone programming techniques [10–12] can be applied, obviating the need to linearize the yield ...mechanics problem, ...

25

Portfolio Optimization Problem by Means of Artificial Bee Colony Algorithm, Considering Various Criteria

Portfolio Optimization Problem by Means of Artificial Bee Colony Algorithm, Considering Various Criteria

... portfolio optimization problem introduced by Samuelson for the first time ...portfolio optimization problem. But skewness in portfolio selection problem commenced 1991 by studies of ...

7

USING LINEAR PROGRAMMING IN SOLVING THE PROBLEM OF SERVICES COMPANY’S COSTS

USING LINEAR PROGRAMMING IN SOLVING THE PROBLEM OF SERVICES COMPANY’S COSTS

... a problem with more than 14 types of ...a problem with 20 different stocks easily and in a short ...the problem and determining the optimal schedule by using the concept of shadow price, time and ...

6

A two phase approach to the shifts and breaks design problem using integer linear programming

A two phase approach to the shifts and breaks design problem using integer linear programming

... design problem is enormous (2800 possible shifts with 7 days leading to 19600 possible different duties and over 1, 000, 000 possible break allocations per ...of integer linear programming in each ...

73

Vol 2, No 5 (2011)

Vol 2, No 5 (2011)

... programming problem, which has been used as an important planning tool for the last four decades, is applied to different disciplines such as engineering, business, ...programming problem is generally used ...

6

A cutting-plane method for contiguity-constrained spatial aggregation

A cutting-plane method for contiguity-constrained spatial aggregation

... common problem in spatial planning, geographic information science, and ...the problem is known as ...the problem is the same: given a planar partition, one wants to aggregate several elements of ...

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