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An algorithm to solve multi-objective integer quadratic programming problem
The multi-objective integer programming problem often occurs in multi-criteria decision-making situations, where the decision variables are integers....
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Linear Programming and Quadratic Programming
As said in the previous pages, a Linear Programming problem (L. P. for friends)Problemlinear programming is characterized by a linear (or a linear...
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FGP approach to quadratically constrained multi-objective quadratic fractional programming with parametric functions
This paper presents a quadratically constrained multiobjective quadratic fractional programming model (MOQFPM) and proposed a methodology to obtain a...
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Inductive linearization for binary quadratic programs with linear constraints: a computational study
The computational utility of inductive linearizations for binary quadratic programs when combined with a mixed-integer programming solver is...
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Parametric approach to quadratically constrained multi-level multi-objective quadratic fractional programming
The paper proposed a method to study and obtain a set of Pareto optimal solutions or a set of representative solutions to a quadratically constrained...
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FSOCP: feature selection via second-order cone programming
Feature selection is an important factor of accurately classifying high dimensional data sets by identifying relevant features and improving...
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Stochastic Structural Optimization with Quadratic Loss Functions
Structural Analysis and Optimal Structural Design under Stochastic Uncertainty using Quadratic Cost Functions are treated in this chapter: Problems...
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A Novel Approach to Solve Multi-objective Fuzzy Stochastic Bilevel Programming Using Genetic Algorithm
A bilevel programming is a two-level optimization problem, namely, the upper level (leaders) and the lower level (followers). The two level’s...
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Quadratic approximation salp swarm algorithm for function optimization
The Salp Swarm Algorithm (SSA) is a peculiar swarm-based algorithm that is extensively used for solving numerous real-world problems due to its...
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On the effectiveness of sequential linear programming for the pooling problem
The aim of this paper is to compare the performance of a local solution technique—namely Sequential Linear Programming (SLP) employing random...
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Branch and cut method for solving integer indefinite quadratic bilevel programs
The paper tackles a class of bilevel programming where the upper level problem and the lower level problem are integer indefinite quadratic programs....
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A novel goal programming approach based on accuracy function of pythagorean fuzzy sets
Goal programming (GP) is a well-established optimization methodology used to solve multi-objective problems. This paper outlines a novel goal...
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A fuzzy programming approach to neutrosophic complex nonlinear programming problem of real functions in complex variables via lexicographic order
In this article, a complex nonlinear programming problem with objective function coefficients characterized by neutrosophic numbers and fuzzy...
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Hybrid simplicial-randomized approximate stochastic dynamic programming for multireservoir optimization
We revisit an approximate stochastic dynamic programming method that we proposed earlier for the optimization of multireservoir problems. The method...
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Fast Quadratic Programming for Mean-Variance Portfolio Optimisation
In this paper, a vectorised quadratic convex optimisation algorithm based on Matlab’s quadprog built-in function is proposed. We target specifically...
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On optimistic, pessimistic and mixed fuzzy-programming based approaches to solve multi-objective fully intuitionistic fuzzy linear fractional programming problems
A decision-maker often encounters a state of uncertainty as well as hesitancy due to various unpredictable factors while solving real-world...
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Approximation of multistage stochastic programming problems by smoothed quantization
We present an approximation technique for solving multistage stochastic programming problems with an underlying Markov stochastic process. This...
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A heuristic method to find a quick feasible solution based on the ratio programming
The feasibility pump is a successful rounding-based heuristic to find a feasible solution to mixed-integer programming (MIP) problems. This paper...
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Mathematical programming-based methodology for the evaluation of supply chain collaborative planning scenarios
Nowadays, supply chain (SC) decentralised decision making is the most usual situation in SC operations planning. In this context, different companies...
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Research on Pricing of Data Based on Bi-level Programming Model
Effective value measurement and pricing methods can greatly promote the healthy development of data sharing, exchange and reuse. However, the...
