Journal: Applied Mathematics and Computation

Found 679 papers in total
A method for generating all efficient solutions of 0–1 multi-objective linear programming problem
A method for generating all efficient solutions of 0–1 multi-objective linear programming problem
2005,
In this paper, a method is proposed to find all efficient solutions of 0–1...
An iterative goal programming approach for solving fuzzy multiobjective integer linear programming problems
An iterative goal programming approach for solving fuzzy multiobjective integer linear programming problems
2005,
This paper presents an iterative goal programming approach for solving fuzzy...
DNA solution of integer linear programming
DNA solution of integer linear programming
2005,
The integer linear programming is an NP-complete problem. In this paper, a detailed...
On the mixed integer signomial programming problems
On the mixed integer signomial programming problems
2005,
This paper proposes an approximate method to solve the mixed integer signomial...
Primal–dual solution for the linear programming problems using neural networks
Primal–dual solution for the linear programming problems using neural networks
2005,
In this paper we represent two new methods for the solution of canonical form linear...
A computer implementation of the Push-and-Pull algorithm and its computational comparison with LP simplex method
A computer implementation of the Push-and-Pull algorithm and its computational comparison with LP simplex method
2005,
The simplex algorithm requires artificial variables for solving linear programs, which...
Log-barrier method for two-stage quadratic stochastic programming
Log-barrier method for two-stage quadratic stochastic programming
2005,
In this paper we present a log-barrier method for solving two-stage quadratic...
A new nonlinear neural network for solving quadratic programming problems
A new nonlinear neural network for solving quadratic programming problems
2005,
This paper presents a new recurrent neural network for solving quadratic programming...
A new rectangle branch-and-reduce approach for solving nonconvex quadratic programming problems
A new rectangle branch-and-reduce approach for solving nonconvex quadratic programming problems
2005,
The paper presents a new rectangle branch-and-reduce approach for solving nonconvex...
Numerical solutions for constrained quadratic problems using high-performance neural networks
Numerical solutions for constrained quadratic problems using high-performance neural networks
2005,
Two new classes of neural networks for solving constrained quadratic programming...
Study on multiobjective transportation problem with fuzzy numbers
Study on multiobjective transportation problem with fuzzy numbers
2005,
In this paper we investigate the efficient solutions and stability of multiobjective...
Logistics networks: A game theory application for solving the transshipment problem
Logistics networks: A game theory application for solving the transshipment problem
2005,
As competition from emerging economies such as China and India puts pressure on global...
Maximum entropy analysis to the N policy M/G/1 queueing system with server breakdowns and general startup times
Maximum entropy analysis to the N policy M/G/1 queueing system with server breakdowns and general startup times
2005,
We study a single removable and unreliable server in the N policy M/G/1 queueing...
On the time to reach a certain orbit level in multi-server retrial queues
On the time to reach a certain orbit level in multi-server retrial queues
2005,
Multi-server retrial queues are widely used to model stochastically many telephone...
Performance analysis of discrete-time queue GI/G/1 with negative arrivals
Performance analysis of discrete-time queue GI/G/1 with negative arrivals
2005,
In this paper, we consider a discrete-time GI/G/1 queueing model with negative...
A hybrid genetic algorithm–neural network strategy for simulation optimization
A hybrid genetic algorithm–neural network strategy for simulation optimization
2005,
Simulation optimization aims at determining the best values of input parameters, while...
A note on some of data envelopment analysis models and finding efficiency and complete ranking using common set of weights
A note on some of data envelopment analysis models and finding efficiency and complete ranking using common set of weights
2005,
Efficiency evaluation in Data Envelopment Analysis (DEA) depends on different factors....
An efficient approach for computing non-Archimedean e in data envelopment analysis based on integrated models
An efficient approach for computing non-Archimedean e in data envelopment analysis based on integrated models
2005,
This paper presents a new approach for computing the non-Archimedean e which leads to...
A one-model approach to classification and sensitivity analysis in data envelopment analysis
A one-model approach to classification and sensitivity analysis in data envelopment analysis
2005,
In this paper we use a simple but very important modification of proposed model by...
Sensitivity and stability analysis in data envelopment analysis
Sensitivity and stability analysis in data envelopment analysis
2005,
One of the topics of interest in data envelopment analysis (DEA) is sensitivity and...
Model identification of ARIMA family using genetic algorithms
Model identification of ARIMA family using genetic algorithms
2005,
ARIMA is a popular method to analyze stationary univariate time series data. There are...
Management of surgical waiting lists through a possibilistic linear multiobjective programming problem
Management of surgical waiting lists through a possibilistic linear multiobjective programming problem
2005,
This study attempts to apply a management science technique to improve the efficiency...
On multiobjective optimization in portfolio management
On multiobjective optimization in portfolio management
2005,
Several multiobjective optimization methods (MOB) are discussed. Two methods are...
On admissible efficient portfolio selection policy
On admissible efficient portfolio selection policy
2005,
The expected return and risk of asset cannot be predicted accurately because of...
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