Resource Allocation by Convex Monotonous Programming Application to an Otec Energy Production Platform [PDF]
A problem is considered of the minimization of a convex and monotonically increasing cost function subject to an upper bound of a convex and monotonically decreasing failure probability function.
Kåre M. Mjelde, S. Fjeld
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Componentwise Fractional Programming with Application to Resource Allocation [PDF]
A fractional programming problem is considered of the maximization of the ratio of a concave and a convex function, with each variable occurring in a single convex component constraint.
Kåre M. Mjelde
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Production Constraints Modelling: A Tactical Review Approach [PDF]
A constraint is a limitation or a restriction that poses a threat to the performance and efficiency of a system. This paper presented a tactical review approach to production constraints modeling.
Chinedum Mgbemena +2 more
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Linear fractional programming is a special case of non-linear programming with an objective function consisting of the ratio of two linear functions. The problem can be solved using the Dinkelbach algorithm and the Charnes Cooper transformation.
Muhammad Wakhid Musthofa +1 more
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Non-linear Programming via P-graph Framework
P-graph is a graph-theoretic method which is designed to solve process network synthesis (PNS) problem using combinatorial and optimisation algorithms.
Bing Shen How +6 more
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Non-Linear Programming Distillation Model for Simultaneous Process Optimisation
Distillation columns are prevalent process units used to purify chemicals. However, they consume significant amounts of energy for heating and cooling. A rigorous non-linear programming (NLP) distillation model where mass, equilibrium, summation and heat
Keat Ping Yeoh, Chi Wai Hui
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An Inventory Model under Space Constraint in Neutrosophic Environment: A Neutrosophic Geometric Programming Approach [PDF]
In this paper, an inventory model is developed without shortages where the production cost is inversely related to the set up cost and production quantity. In addition, the holding cost is considered time dependent.
Chaitali Kar +2 more
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A new non-monotonic infeasible simplex-type algorithm for Linear Programming [PDF]
This paper presents a new simplex-type algorithm for Linear Programming with the following two main characteristics: (i) the algorithm computes basic solutions which are neither primal or dual feasible, nor monotonically improving and (ii) the sequence ...
Charalampos P. Triantafyllidis +1 more
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Linear combination of forecasts with numerical adjustment via MINIMAX non-linear programming
This paper proposes a linear combination of forecasts obtained from three forecasting methods (namely, ARIMA, Exponential Smoothing and Artificial Neural Networks) whose adaptive weights are determined via a multi-objective non-linear programming ...
Jairo Marlon Corrêa +4 more
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A New Approach on Decision Making for Multi- Objectives Problems [PDF]
In many real life problems, one is usually confronted with several objectives, which are in mutual conflict. In this paper, multi-objective decision making is obtained, based on a mathematical model by interpolating multi-objective functions with weights
Allaiden N. Ahmed +2 more
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