Geometric Programming
Structural Design Optimization using Parameterized P-norm Based Geometric Programming Technique
... fuzzy geometric programming was proposed by Cao ...posynomial geometric programming with interval exponents and coefficients was developed by Liu ...parametric geometric ...
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Optimum Allocation in Multi Objective Geometric Programming in Multivariate Double Sampling Design
... Geometric programming always transforms the primal problem of minimizing a posynomial subject to posynomial constraints to a dual problem of maximizing a function of the weights on each ...
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An Alternative Approach to the Solution of Multi Objective Geometric Programming Problems
... When there are multiple objectives in the GPP, the problem is defined as the Multi-Objective Geometric Programming Problem (MOGPP). In general, there are two types (namely fuzzy GPP and weighted mean ...
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Concept of Geometric Programming for Designing an Optimal Routing Method in Wireless Network
... employed, instead of crisp logic the parameters of the network are used fuzzy logic, because fuzzy logic deals with partial true and partial false which range between 0 and 1. Hence, membership functions of some network ...
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A Multi Item Inventory Model with Demand Dependent Unit Cost : A Geometric Programming Approach with GA SVM
... In this paper, multi-item modified EOQ inventory models with demand dependent unit cost and infinite replenishment has been formulated in crisp environment with/without storage space constraint. Here, shortages are ...
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Reliability And Cost Analysis Of A Series System Model Using Fuzzy Parametric Geometric Programming
... non-linear programming problem. Geometric programming GP is a technique developed for solving a special type of nonlinear programming and provides a powerful tool for solving a variety of ...
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Area Delay Estimation by Concurrent Optimization of FPGA Architecture Parameters using Geometric Programming
... of geometric programming for combined high-level and low-level architecture parameter ...an geometric programming framework for reconfigurable architectures, and presents a full delay and area ...
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Optimal Riser Design By Fuzzy Geometric Programming Technique
... Geometric programming (GP) is a technique to solve the special class of non - linear programming problems subject to linear or non-linear constraints. The original mathematical development of this ...
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Optimization of biotechnological systems through geometric programming
... An alternative to using S-system models is the General Mass Action (GMA) representation within BST. GMA sys- tems are very interesting for several reasons. First, they contain both stoichiometric and S-system models as ...
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Multi Item EOQ Model with Both Demand Dependent Unit Cost and Varying Leading Time via Geometric Programming
... The aim of this paper is to derive the optimal solution of EOQ inventory model and minimize the total cost function based on the values of demand rate, order quan- tity and leading time using geometric ...
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Comparative Study of Yager and Magnitude Based Ranking on TrFN with Left and Right Fuzziness and apply on Fuzzy Geometric Programming Problem
... the geometric programming problems when the cost and constraint coefficients are known ...of geometric programming are engineering design problems in which some of the problem parameters are ...
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Optimal production and marketing planning with geometric programming approach
... One of the primary assumptions in most optimal pricing methods is that the production cost is a non-increasing function of lot-size. This assumption does not hold for many real-world applications since the cost of unit ...
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Estimation of Concentrations in Chemical Systems at Equilibrium Using Geometric Programming
... gacity is the attribute which is used instead of pressure in nonideal cases. There are different ways to determine the fugacity factor based on the other known properties of gases [14]. The multipliers of primal and dual ...
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Monomial Geometric Programming with Fuzzy Relation Equation Constraints Regarding Max-Bounded Difference Composition Operator
... The fuzzy relation equations topic is one of the interesting subjects and is investigated by many researchers [1–4, 7–9, 13–16]. Also, fuzzy relation equations as the feasible region for optimization problems is an ...
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A geometric programming approach for optimal resource allocation to control epidemic outbreaks in arbitrary networks
... Abstract. This paper proposed a control-strategies for nodes to control the spread of an epidemic outbreak in arbitrary directed graphs by optimally allocating their resources throughout the network. Epidemic propagation ...
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Geometric Flows of Diffeomorphisms
... a geometric map ow we still do not have an existence theorem that we can just cite and forget, since we are dealing with maps M → N rather than maps into R n or sections of a vector ...
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Entropy and Geometric Objects
... towards this formula will be presented. The approach is based on a continuous 3D extension of the Heaviside function, with this extension drawing on the phase-field concept of diffuse interfaces. Entropy enters into the ...
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Characterization and Correction of the Geometric
... measured data with determined coefficients, comparing the residuals with respect to certified 60.. values before and after corrections.[r] ...
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A geometric unification of dualities
... IR), where the size of the S 3 ’s, which corresponds to the gaugino condensation, is large. By using the holographic picture, and following the geometric transitions, we can smoothly follow the field theory ...
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Geometric quantum computation
... fault tolerance not present in the simple non-geometric conditional phase gate. In many experiments, such as NMR, it is easy to control the detuning quite precisely, but relatively difficult to control the ...
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