nonlinear programming-based algorithm
An Evolutionary Algorithm Based on a New Decomposition Scheme for Nonlinear Bilevel Programming Problems
... called nonlinear BLPP, which is more com- plex and challenging than linear ...techniques based on gradi- ents; on the other hand, if an intelligent algorithm, such as GA, is used to solve the ...
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A Novel Interactive Possibilistic Mixed Integer Nonlinear Model for Cellular Manufacturing Problem under Uncertainty
... model based on operations sequence, intracellular layout, lot splitting, alternative process routing, duplicate machines, multi-period production planning, system reconfiguration, machine capacity, and material ...
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Applying queuing theory for a reliable integrated location –inventory problem under facility disruption risks
... heuristic based on Lagrangian ...Genetic Algorithm for solving their ...mixed-integer nonlinear problems for joint inventory and location decisions under part service level requirements and part ...
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Parameter Estimation Algorithm for Storm Intensity Model with Single Return Period Based on Multicellular Gene Expression Programming
... expression programming is a new promising evolutionary algorithm which was based on genotype and phenotype and was developed from Genetic Algorithm (GA) and Genetic Programming (GP) in ...
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An Objective Penalty Functions Algorithm for Multiobjective Optimization Problem
... linear programming by assuming an unknown pseudo concave utility function satisfying cer- tain general properties ...criteria nonlinear programming prob- lems based on the generalized reduced ...
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Introducing a nonlinear programming model and using genetic algorithm to rank the alternatives in analytic hierarchy process
... In 1975, Holland developed the idea of “Adaptation in natural and artificial systems” in his book where he had described how to apply the principles of natural evolution to optimize problems and built the first Genetic ...
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Designing A Nonlinear Integer Programming Model For A Cross-Dock By A Genetic Algorithm
... integer programming model for a cross-dock problem that considers the total transportation cost of inbound and outbound trucks from an origin to a destination and the total cost of assigning strip and stack doors ...
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A globally convergent QP free algorithm for nonlinear semidefinite programming
... dard nonlinear programs (see ...standard nonlinear programs, based on techniques of perturbation and penalty function, we propose a globally convergent QP-free algorithm for NLSDP ...point. ...
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A superlinearly convergent SSDP algorithm for nonlinear semidefinite programming
... SSDP algorithm for ...SSDP algorithm has performed very well in finding a solution to ...semidefinite programming subproblem is solved to generate a search ...semidefinite programming (QSDP for ...
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A Modified Interactive Stability Algorithm for Solving Multi Objective NLP Problems with Fuzzy Parameters in Its Objective Functions
... multi-objective nonlinear programming problems with fuzzy parameters in its objective functions and these fuzzy parameters are characterized by fuzzy ...is based on normalized trade-off ...an ...
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Enhancing the Solution Method of Linear Tri-Level Programming Problem Utilizing a New heuristic approach
... tri-level programming problems (TLPP) are interested by many researchers and TLPP is known as an appropriate tool to solve the real problems in several areas such as economic, traffic, finance, management, and so ...
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A Dynamic Programming Algorithm for Tree Trimming based Text Summarization
... Fig. 4 compares the running time of our algorithm (includes ZDD construction time) and Gurobi. Each plotted marker in the figures represents a test in- stance, and if the position of a marker is below the dashed ...
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A Constraint programming-based genetic algorithm for capacity output optimization
... Constraint programming (CP) is often integrated into computer models, such as GA, to solve the foregoing problems. GA is a search method to identify the near optimal solution for the objective function. CP is a ...
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Hybrid Smart Grid Connected Photovoltaic and Fuel System
... offline. Based on the reviews, maximum demand shaving with good Return- of-Investment (ROI) can be achieved by considering the actual load profile, technical, and economic aspects of the solar PV-battery system ...
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Hydrogen Distribution in Refinery with Nonlinear Programming
... Abstract Growth of the world population, increasing demand for fossil fuel consumption and consequently increasing threat of global warming, has extended the need for production and use of clean fuels and normal hydrogen ...
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A Java Expression Evaluator for Nonlinear Programming
... Abstract—Finding the optimal value for a problem is usual in many areas of knowledge where in many cases it is needed to solve Nonlinear Optimization Problems. For some of those problems it is not possible to ...
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Semilocal E preinvexity and its applications in nonlinear multiple objective fractional programming
... for nonlinear singleobjective or multiobjective optimization problems have been of much interest in the recent past, and many contri- butions have been made to this ...[9]. Based on the results of [8,9], ...
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An extended branch and bound algorithm for linear bilevel programming
... bound algorithm. This algorithm has been applied with remarkable success in linear bilevel programming, but its performance is dependent on linear form of the upper-level constraint ...
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Web-based Application Programming Interface to Solve Nonlinear Optimization Problems
... Abstract—Nonlinear Optimization Problems are usual in many engineering fields. Due to its characteristics the objective function of some problems might not be differentiable or its derivatives have complex ...
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Variable Neighbourhood Search for the Global Optimization of Constrained NLPs
... constrained nonlinear programming problems based on Variable Neighbourhood Search, and we give compara- tive computational results on several instances of continuous nonconvex ...
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