Search Results - (( program _ maximization algorithm ) OR ( java binary classification algorithm ))

An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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Optimizing Visual Surveillance Sensor Coverage Using Dynamic Programming by Altahir, A.A., Asirvadam, V.S., Hamid, N.H.B., Sebastian, P., Saad, N.B., Ibrahim, R.B., Dass, S.C.

“…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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Small Farmers' Decisions: Utility Versus Profit Maximization by Mohayidin, Mohd. Ghazali

“…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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Reusability techniques in load-flow analysis computer program by Nor, K.M., Mokhlis, Hazlie, Gani, T.A.

“…Adding and changing codes and algorithm of the software can be done without affecting much the existing codes and algorithms. …”
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Surveillance camera placement optimization using Particle Swarm Optimization (PSO) algorithm and Mixed-Integer Linear Programming (MILP) model / `Ain Safia Roslan by Roslan, `Ain Safia

“…This project explores the optimization of surveillance camera placements using Particle Swarm Optimization (PSO) and Mixed-Integer Linear Programming (MILP). PSO, inspired by the social behaviour of birds flocking or fish schooling, is a heuristic algorithm known for its flexibility and exploration capabilities. …”
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Optimization of milling parameters using ant colony optimization by Mohd Saupi, Mohd Sauki

“…The result obtained from this simulation will compare with another method like Genetic Algorithm (GA) and Linear Programming Technique (LPT) to validation. …”
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Global optimal analysis of variant genetic operations in solar tracking by Fam D.F., Koh S.P., Tiong S.K., Chong K.H.

“…Genetic Algorithms (GAs), Evolution Strategies (ES), Evolutionary Programming (EP) and Genetic Programming (GP) are some of the best known types of Evolutionary Algorithm (EA)where it is a class of global search algorithms inspired by natural evolution. …”

Profit Maximization of a Crude Distillation Unit by Ali, Syed, Yusoff, Nooryusmiza, ganguly, saibal

“…A nonlinear steady state model is used to simulate a crude distillation unit later optimized using sequential quadratic programming (SQP) algorithm. Substantial increase in the profit margin throughout the implementation period was observed.…”
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Evolutionary algorithm optimization for dynamic economic dispatch considering uncertainties / Khairul Faizee Korsin by Korsin, Khairul Faizee

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Crop planning optimization on paddy fields under MADA using goal programming / Nur Izzah Naimi Mohd Radzi by Mohd Radzi, Nur Izzah Naimi

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A Simulated Annealing Approach to Solve Fuzzy Multi-Objective Linear Model for Supplier Selection in a Supply Chain by Parthiban, P, Dominic P, Dhanapal Durai, dhanalakshmi, p

“…Finally the problem is solved by using simulated annealing algorithm to enable the decision-maker to select the right suppliers and allocate their quota in order to minimize the cost, maximize the quality level and again maximize the service level.…”
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Final examination time table scheduling using integer programming with average time slot gap minimization by Nur Hidayah Abdul Jamil, Nor Aliza Ab Rahmin, Athirah Nawawi

“…The result shows that integer programming gives an optimal solution for this complexity. …”
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Performances Of Metaheuristic Algorithms In Optimizing Tool Capacity Allocations by Goheannee

“…In this research, the algorithms studied includes Genetic Algorithm, Particle Swarm Optimization Algorithm, Differential Evolution Algorithm, Harmony Search Algorithm, Teaching-LearningBased Optimization Algorithm and Black Hole Algorithm. …”
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Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari by Mohammed , Heydari

“…The described model was resolved by linear programming and evolutionary algorithms in Microsoft Excel (Solver). …”
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Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty by Liu, Lihua

“…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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Final examination time table scheduling using integer programming with average time slot gap minimization by Abdul Jamil, Nur Hidayah, Ab Rahmin, Nor Aliza, Nawawi, Athirah

“…The result shows that integer programming gives an optimal solution for this complexity. …”
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A maximal-clique-based clustering approach for multi-observer multi-view data by using k-nearest neighbor with S-pseudo-ultrametric induced by a fuzzy similarity by Khameneh, Azadeh Zahedi, Ghaznavi, Mehrdad, Kilicman, Adem, Mahad, Zahari, Mardani, Abbas

“…The proposed clustering algorithm is programmed and tested on synthetic and four real-world datasets using the R software. …”
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Local search heuristics for elective surgery scheduling considering patient urgency by Rashid, N. S. A., Rahmin, N. A. A., Leong, W. J., Mohamed Ali, Nazihah

“…An integer linear programming model is referred to solve the problem. …”
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Optimizing Visual Sensors Placement with Risk Maps Using Dynamic Programming by Altahir, A.A., Asirvadam, V.S., Sebastian, P., Hamid, N.H.B., Ahmed, E.F.

“…That is, the enhanced efficiency of coverage is obtained by developing a prior grid assessment practice to stress on the security sensitive zones. Then, the dynamic programming algorithm operates on security quantified maps rather than uniform grids. …”
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Kernel methods and support vector machines for handwriting recognition by Ahmad A.R., Khalid M., Yusof R.

“…Finding the solution hyperplane involves using quadratic programming which is computationally intensive. Algorithms for practical implementation such as sequential minimization optimization (SMO) and its improvements are discussed. …”