Search Results - (( programming model maximization algorithm ) OR ( java application optimization algorithm ))
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Small Farmers' Decisions: Utility Versus Profit Maximization
Published 1982“…This indicates that risk does playa role in decision-making and that the farmers are utility maximizers rather than profit maximizers only. Therefore, more effective programs would be those that tend to reduce risks and uncertainties faced by the farmers.…”
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Optimizing Visual Surveillance Sensor Coverage Using Dynamic Programming
Published 2017“…To validate the proposed algorithm, we compared the outcomes of the dynamic programming algorithm with the existing benchmarking placement optimization techniques. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty
Published 2024“…The other two models are bi-objective mixed integer nonlinear programming models with soft time window constraints developed to minimize costs and maximize customer satisfaction under uncertain demand, which include stochastic and fuzzy demand, respectively. …”
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A Simulated Annealing Approach to Solve Fuzzy Multi-Objective Linear Model for Supplier Selection in a Supply Chain
Published 2010“…During this project a fuzzy Multi-objective linear model is developed to achieve three important goals: Cost minimization, Quality maximization and Service level maximization and further it is converted into crisp single objective programming model using membership functions of the three objectives. …”
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Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari
Published 2017“…The described model was resolved by linear programming and evolutionary algorithms in Microsoft Excel (Solver). …”
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Ant colony optimization algorithm for load balancing in grid computing
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Profit Maximization of a Crude Distillation Unit
Published 2013“…A nonlinear steady state model is used to simulate a crude distillation unit later optimized using sequential quadratic programming (SQP) algorithm. …”
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Bi-objective mixed integer nonlinear programming model for low carbon location-inventory-routing problem with time windows and customer satisfaction
Published 2024“…An improved non-dominated sorting genetic algorithm II (IMNSGA-II) with an elite strategy is developed to solve the model. …”
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Local search heuristics for elective surgery scheduling considering patient urgency
Published 2019“…An integer linear programming model is referred to solve the problem. …”
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Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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An integrated reservoir modelling and evolutionary algorithm for optimizing field development in a mature fractured reservoir
Published 2016“…The second method is automatic optimization using Genetic Algorithm. That depends on the principle of natural selection as proposed by Darwin The genetic program was coupled with the reservoir flow model to re-evaluate the chosen wells at each iteration until obtaining the optimal choice. …”
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Performances Of Metaheuristic Algorithms In Optimizing Tool Capacity Allocations
Published 2014“…For each case study, a capacity model was constructed in Microsoft Excel spreadsheet, as an input to the above mentioned metaheuristic algorithms which programmed in Matlab coding. …”
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