Objective and Constraints
Multi-objective Optimization Proposal with Fuzzy Coefficients in both Constraints and Objective Functions.
... Experience shows that it is easier for the decision-maker to formulate both objectives and constraints with fuzzy coefficients, rather than specify a defined quantity for the matrices A, b or g. This paper shows ...
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Structural Optimization by Spherical Interpolation of Objective Function and Constraints
... Hence, the method uses the radii of curvature, which are the radii of the spheres which are tangent to the given n-dimensional functions of constraints and objective function. At the tangent point of each ...
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Class Disjointness Constraints as Specific Objective Functions in Neural Network Classifiers
... specific objective function applied to the neural network outputs corresponding to the classes on the ontology for which a disjointness axiom was ...common objective function to achieve this is to use ...
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Carbon restricted newsvendor problem under CVAR objective and resource constraints
... Gotoh and Takano [24] analyze the newsvendor model under CVaR minimization setting where the aim is to minimize the losses going beyond the threshold value. For the loss minimization concept, they define two distinct ...
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A Multi-Level Multi-Objective Quadratic Programming Problem with Fuzzy Parameters in Constraints
... one objective function in every level, it is appropriate to use an approach or algorithm for obtaining a satisfactory solution to such model, many researches utilized the Interactive approach as Theoretical and ...
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Objective function design for robust optimality of linear control under state-constraints and uncertainty
... CONTROL UNDER STATE-CONSTRAINTS AND UNCERTAINTY Fabio Bagagiolo 1 and Dario Bauso 2 Abstract . We consider a model for the control of a linear network flow system with unknown but bounded demand and politopic ...
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Artificial bee colony algorithm for solving bi objective hydrothermal scheduling with practical constraints
... practical constraints and linear interpolated price penalty model is developed based on simple analytical geometry equations which blends two non-commensurable objectives ...practical constraints which is ...
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Multi-Objective Unrelated Parallel Machines Scheduling with Sequence-Dependent Setup Times and Precedence Constraints
... the optimal solution has been hard by adding constraints to the model. During the last decades, many researchers investigated multi-criteria parallel machines scheduling problems with two or more criteria that ...
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PORTFOLIO’S RISK MEASUREMENT USING A MULTI OBJECTIVE SINGLE PERIOD MODEL UNDER PROBABLE CONSTRAINTS
... If the observed return is lower than the expected return, then the variable y corresponding to it represents the position. So, we can say that in this model, we seek to minimize total y 2 .In the optimal state of ...
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Multi-Objective Stochastic Optimization Programs for a non-Life Insurance Company under Solvency Constraints
... From a theoretical point of view, to the best of our knowledge, this is the first attempt to develop a general multi-objective scheme that hybridizes the normal constraint method with a global ...
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Fuzzy multi-objective optimization of linear functions subject to max-arithmetic mean relational inequality constraints
... multi- objective optimization problem subject to a system of fuzzy relational inequalities with max-arithmetic mean ...the constraints and objective functions and using Bellman- Zadeh decision, a new ...
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Multi-objective optimization in the presence of practical constraints using non-dominated sorting hybrid cuckoo search algorithm
... Practical constraints a b s t r a c t A novel optimization algorithm is proposed to solve single and multi-objective optimization problems with generation fuel cost, emission, and total power losses as ...
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A novel approach to multi objective OPF by a new parallel non dominated Sorting Genetic Algorithm considering diverse constraints
... The experimental results show that NSGA-II is competitive across all test problems. It gives good results by producing a set of non-dominated solutions (Pareto optimal solution) for the user to choose the most ...
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Optimizing a bi-objective vendor-managed inventory of multi-product EPQ model for a green supply chain with stochastic constraints
... second objective function to make a kind of green supply chain ...The objective of this paper is to determine order quantities of products, total amount of each product shipped by each truck and the maximum ...
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Two meta-heuristic algorithms for solving multi-objective flexible job-shop scheduling with parallel machine and maintenance constraints
... maintenance constraints is an optimization problem in discrete ...maintenance constraints while considering a dynamic manufacturing environment, operational flexibility due to parallel machines, and a ...
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Solving Multi Objective Inventory Model of Deteriorating Items with Two Constraints using Fuzzy Optimization Technique Gaussian Quadrature Rule
... multi objective and multi item EOQ model with stock dependent demand for deteriorating items under the space and investment constraints is considered in fuzzy ...
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Multi-Objective Optimal Power Flow Problem Considering Different Constraints Based on Parallel Non-Dominated Sorting Genetic Algorithm- II
... sole objective function, transient stability and voltage or branch load flow are formulated as ...security constraints are rigid and must be always respected during the power system operation; while, ...
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Note nine: Linear programming CSE Linear constraints and objective functions. 1.1 Introductory example. Copyright c Sanjoy Dasgupta 1
... 1 Linear constraints and objective functions 1.1 Introductory example Suppose that a company produces two products, and wishes to decide the level of production of each so as to maximize profits. Let be ...
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Portfolio Optimization with Conditional Value-at-Risk Objective and Constraints
... These preferences are specified directly in percentile terms, compared to the traditional approach, which specifies risk preferences in terms of utility functions. For instance, we may require that the mean values of the ...
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Multi-Objective Lead-Time Control Problem with Stochastic Constraints
... This research intends to find out any development of a robust multi-objective for lead time optimal control problem in a multi-stage assembly system model. Assembly system modeling is possible by the help of the ...
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