linear programming-based models
An Innovative Genetic Algorithms Based Inexact Non Linear Programming Problem Solving Method
... operation programming of solid waste management was first proposed in the 1960s ...Different models of waste planning have been researched and applied in various engineering fields in the following ...
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Multi-Level Multi-Objective Linear Plus Linear Fractional Programming Problem Based On Fgp Approach
... multi-objective linear plus linear fractional programming problem based on first order Taylor’s series ...constrained linear plus linear fractional bi-level programming ...
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Fuzzy Random Linear Optimization under Possibilistic Downside Risk Measures: Minimization of Possibilistic Low Partial Moment
... considered linear optimization (linear programming) problems with discrete fuzzy random ...new models based on low partial moment using possibility and necessity measures, which is a ...
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Integer Linear Programming in NLP Constrained Conditional Models
... learning based natural language processing systems including an award winning semantic parser, and has presented invited talks in several international conferences, and several tutorials on machine learning for ...
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Creating a GUI Solver for Linear Programming Models in MATLAB
... Linear programming (LP) is a branch of optimization methods that finds the best outcome of a certain objective function based on linear ...
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Constructing Mixed-integer Programming Models whose Feasible Region is Exactly the Set of All Valid Differential Characteristics of SIMON
... integer linear programming (MILP) models whose feasible regions are exactly the sets of all possible differential (or linear) characteristics for a wide range of block ciphers is ...These ...
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Application of ‘Data Envelopment Analysis’ in Ecological Research of Maintenance of Forestry Mechanisation
... By linear programming, DEA models determine empiric efficiency frontier (frontier of production possibilities) based on data of used inputs and achieved outputs of all decision making ...
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Kernel-based multiple criteria linear programming classifier
... of models that describe and distinguish data ...or models that map each item of the selected data into one of the predefined ...method based on training data with predetermined data classes, the ...
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Fuzzy Transportation Linear Programming Models based on L R Fuzzy Numbers
... method based on fuzzy linear programming formulation with inequality condition The optimal solution of fuzzy transportation problem with in equality condition may be obtained by using the following ...
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A Linear Programming Based Method for Job Shop Scheduling
... 1. Introduction The job shop scheduling problem, in which each job in a set of orders requires processing on a unique subset of available resources, is a fundamental operations research problem, encompassing many ...
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Revenue Optimization in Tourism and Hotel Ind...
... Simple linear programming models of revenue optimization for airline and hotel are presented and their solution through genetic algorithm is proposed and analysed in this ...GA- based modelwas ...
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Linear fractional programming for fuzzy random based possibilistic programming problem
... various models introduced by many scholars, whereby the initial setting of the model ...mathematical programming models is crucial to obtain the feasible and proper ...mathematical programming ...
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Analyzing the Linear Keystream Biases in AEGIS
... succeeded in substantially improving the distinguishers by applying Mixed-Integer Linear Programming (MILP) solvers to search for better characteristics. While the state update functions of MORUS and AEGIS ...
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Chance Constrained Multi-Objective Linear Plus Linear Fractional Programming Problem Based on Taylor’s Series Approximation
... goal programming approach to solve chance constrained multi-objective linear plus linear fractional programming problem based on first order Taylor’s series ...into linear ...
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A Review of Quantitative Analysis (QA) in Production Planning Decisions Using the Linear Programming Model
... is, linear programming and its subse- quent impact on production planning ...results based on a con- gruence of views revealed that the “best-fit” application of quantitative analy- sis models ...
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MULTIOBJECTIVE LINEAR PROGRAMMING MODEL WITH WEIGHTED INTERVALS IN A MINIMUM CONSENSUS SCENARIO FOR PRODUCTION PLANNING
... methods based on their application following up records and acceptance of the users in practical applications and, also examining methods used, data requirement, user friendliness and the utility of results for ...
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Linear Programming Models based on Omega Ratio for the Enhanced Index Tracking Problem
... optimization models maximizing this performance measure is a research area that is receiving increasing attention both from academics and ...into Linear Programming (LP) ...optimization models ...
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On Technique for Generating Pareto Optimal Solutions of Multi-objective Linear Programming Problems
... Generally, solution methods of multi-objective linear programming problems may be classified into three groups, viz:priori, interactive, and posterior methods [4]. In a priori method, the decision maker ...
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Generalized linear models
... As Birch (1963) has shown, the estimation of a set of independent multinomial distributions is equivalent to the estimation of a set of independent Poisson distributions, and in[r] ...
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Regularized Multiple Criteria Linear Programming via Linear Programming
... In this paper, we have proposed a new algorithm: LP-RMCLP, for binary classification by solving a standard linear programming problem. Experiments have shown that our algorithm is considerably faster, ...
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