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Fuzzy Optimal Solution to Fuzzy Transportation Problem: A New Approach

Fuzzy Optimal Solution to Fuzzy Transportation Problem: A New Approach

... fuzzy optimal solution to the given fuzzy transportation problem with triangular fuzzy numbers without converting the given problem into classical transportation ...feasible solution. Further, the ...

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Optimal Solution of the EPED Problem Considering Space Areas of HSABC on the Power System Operation

Optimal Solution of the EPED Problem Considering Space Areas of HSABC on the Power System Operation

... Financially, the power system is measured using a minimum total cost for establishing the whole operations based on technical and non technical sections. Technically, this budget is optimized using an operating cost ...

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Convalesce Optimization for Input Allocation Problem Using Hybrid Genetic Algorithm

Convalesce Optimization for Input Allocation Problem Using Hybrid Genetic Algorithm

... Genetic Algorithms (GAs) are search algorithms that are conceptually based on the methods that living organisms adapt to their environment. These methods, known as natural selection or evolution, combine the concept of ...

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Pesqui. Oper.  vol.30 número3

Pesqui. Oper. vol.30 número3

... global optimal solution for various ...found optimal solutions for scenarios with three and four vessels, scenarios with one and two ships were executed in order to depict the processing time curve ...

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Solving the General Two Water Jugs Problem via an Algorithmic Approach

Solving the General Two Water Jugs Problem via an Algorithmic Approach

... an optimal solution of the general two water jugs problem, in the sense that the number of pouring steps involved is least possible, will be a meaningful and challenging research topic for pursue in the ...

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Pesqui. Oper.  vol.20 número1

Pesqui. Oper. vol.20 número1

... a solution for KPt, with xj ≥ ...one solution for KPt with xj ≥ 1, together with its corresponding best ...best solution value at a super node (t+ap), corresponding to index p, is obtained by adding ...

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JOB SHOP RE- SCHEDULING USING GENETIC ALGORITHM – A CASE STUDY

JOB SHOP RE- SCHEDULING USING GENETIC ALGORITHM – A CASE STUDY

... Scheduling concerns the allocation of limited resources overtime to perform manufacturing industries are quite complex in nature and are to be best known of the difficult combinatorial optimization problems. The job shop ...

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Multi – Objective Two Stage Fuzzy Transportation Problem with Hexagonal Fuzzy Numbers Using Fuzzy Geometric Programming

Multi – Objective Two Stage Fuzzy Transportation Problem with Hexagonal Fuzzy Numbers Using Fuzzy Geometric Programming

... the optimal solution of a multi-objective two stage fuzzy transportation problem in which supplies, demands are hexagonal fuzzy numbers and fuzzy membership of the objective function is ...compromise ...

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A Numerical Approach for Solving Optimal Control Problems Using the Boubaker Polynomials Expansion Scheme

A Numerical Approach for Solving Optimal Control Problems Using the Boubaker Polynomials Expansion Scheme

... an optimal solution of optimal control problems is the HJB ...nonlinear optimal feedback control ...original optimal control problem into a boundary value problem, which can be solved ...

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Estimação de estados com restrições para sistemas dinâmicos lineares e não-lineares

Estimação de estados com restrições para sistemas dinâmicos lineares e não-lineares

... In this chapter, the Gaussian approximate estimation framework for nonlinear un- constrained state estimation is developed. First, we show how to obtain a recursive solution to the state-estimation problem by ...

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A decomposition heuristic for the maximal covering location problem

A decomposition heuristic for the maximal covering location problem

... This paper proposes a cluster partitioning technique to calculate improved upper bounds to the optimal solution of maximal covering location problems. Given a covering distance, a graph is built considering ...

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Multi-Objective Fuzzy Linear Programming In Agricultural Production Planning

Multi-Objective Fuzzy Linear Programming In Agricultural Production Planning

... world problems determining "optimal" solutions cannot be done by using a single criterion or a single objective function. This area, multi-criteria decision making, has led to numerous evaluation schemes ...

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Rev. bras. linguist. apl.  vol.11 número4

Rev. bras. linguist. apl. vol.11 número4

... an optimal solution to an educational problem, namely, the enhancement of students’ reading comprehension in English with the use of concept maps powered by a computer software, the CMap Tools ...

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The mixed capacitated arc routing problem with non-overlapping routes

The mixed capacitated arc routing problem with non-overlapping routes

... an optimal solution under this measure, with one connected component per route, as it is observed (see Tables 6 and 7) for the majority of the cases for both the (bcar ) and the heuristic, and contrary to ...

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420 FUZZY LINEAR PROGRAMMING: OPTIMIZATION OF AN ELECTRIC CIRCUIT MODEL

420 FUZZY LINEAR PROGRAMMING: OPTIMIZATION OF AN ELECTRIC CIRCUIT MODEL

... For each γ , defuzzification parameter in the interval [0.3, 1], the optimum point is a fuzzy num- ber of type-1, because for each level we get an optimum point (crisp), and a corresponding trape- zoid optimal ...

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A LINEAR PROGRAMMING METHOD TO ENHANCE RESOURCE UTILIZATION CASE OF ETHIOPIAN APPAREL SECTOR

A LINEAR PROGRAMMING METHOD TO ENHANCE RESOURCE UTILIZATION CASE OF ETHIOPIAN APPAREL SECTOR

... an optimal solution from a large number of alternatives to meet a specified objective functions subject to various constraints and restrictions (Shaheen and Ahmad, ...the optimal, or most efficient, ...

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Zipf's Law: Balancing Signal Usage Cost and Communication Efficiency.

Zipf's Law: Balancing Signal Usage Cost and Communication Efficiency.

... any optimal solution for our cost function necessarily realizes a power law distribution, as long as the underlying cost function for the signals increases logarithmically (if the signals are ordered ...

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CMAME2016 101 formatted end

CMAME2016 101 formatted end

... of optimal or non-dominated solutions constitutes a Pareto front, and provide the most favorable alternative choices for solving a multiresponse optimization ...an optimal solution from the generated ...

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Fuzzy goal programming applied to multi-objective programming problem with FREs as constraints

Fuzzy goal programming applied to multi-objective programming problem with FREs as constraints

... maximum solution of ...efficient solution procedure to obtain compromise optimal solution of multiobjective optimization problem with FREs as ...

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An Improved Genetic Algorithm Based on Adaptive Repair Operator for Solving the Knapsack Problem

An Improved Genetic Algorithm Based on Adaptive Repair Operator for Solving the Knapsack Problem

... an optimal solution by using a simple to implement adaptive repair operator which incorporates a strategy of making all bits of the chromosome equal to zero from the point where the fitness exceeds the ...

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