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18 results for “mathematical programming”
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Research ArticleOpen accessPhrase in the titleA Fuzzy Mathematical Programming Approach to DEA ModelsA. Azadeh, S.F. Ghaderi, Z. Javaheri, M. SaberiEvaluating the performance of activities or organizations by traditional Data Envelopment Analysis (DEA) as efficiency frontier analysis models requires crisp input/output data. However, in real-world problems inputs and outputs are often imprecise. This study develops DEA models using imprecise data represented by fuzzy sets. An important outcome of assessing relative efficiencies within a group of Decision Making Units (DMUs) in … …American Journal of Applied Sciences, Vol. 5, Issue 10 · 31 Oct 2008 · 7,223 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Genetic Algorithm for Scheduling n Jobs on a Single Machine with a Stochastic Controllable Processing, Tooling Cost and Earliness-Tardiness PenaltiesMohamed Ali Abdel-Fattah MansourProblem statement: In this research, we addressed the problem of minimizing the earliness-tardiness penalties and manufacturing costs of a single machine with a stochastic controllable processing and tooling cost. Approach: We developed a mathematical non-linear integer programming model and its linearised version to find the optimal solution. We introduced a new genome representation in single machine scheduling literature that evolved … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 3 · 18 Aug 2011 · 7,587 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredictive Mathematical Modeling and Classification of Retail Sales Orders Using AI Machine Learning TechniquesMohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Hamzeh ZureigatThis study presents a systematic mathematical model known as a low-code approach to classifying retail sales orders by size using AI machine learning techniques within the Orange Data Mining platform. Leveraging a real-world sales dataset sourced from Kaggle, we implemented and evaluated ten classification models, including ensemble learners (AdaBoost, Gradient Boosting), probabilistic classifiers (Naïve Bayes), distance-based methods (kNN), and interpretable … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 1,567 accessesView PDFCite
Research ArticleOpen accessIn the abstractEscalating SVM-Efficiency by Sequential QP LP and Slack Variable AnalysisAmit Kumar Kundu, Rezaul Karim, Ali Ahmed AveSupport Vector Machine (SVM) is a highly attractive algorithm among many machine learning models due to its generalization power and classification performance based on sound mathematical formulation being convex that offers global minimum. However, despite being sparse, its high classification cost from kernel execution with Support Vectors (SVs) reduces the user's interest when there are hard computational constraints in the … …Journal of Computer Science, Vol. 19, Issue 10 · 6 Sep 2023 · 5,913 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing an E-Waste Reverse Supply Chain Model while Incorporating Risk CostsLinh Thi Truc Doan, Yousef Amer, Sang- Heon Lee, Phan Nguyen Ky PhucThe rapid growth of Electronic Waste (E-waste) in recent years has created serious influences on the environment and society. The highly potential solution to mitigate this issue is the Reverse Supply Chain (RSC) which can reuse and recover E-waste materials. Risks generally derive from a RSC operation such as collection, transportation and treatment risks, but most studies ignore risk effects … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 24 Nov 2017 · 7,975 accessesView PDFCite
Research ArticleOpen accessIn the abstractFrictional Impact Modeling of a Cereal ThresherChristian Okechukwu OsuekeProblem statement: There is no point producing cereal threshing models that cannot replicate its performance on the field. The frictional impact that occurs between the crop surface and threshing cylinder had been often neglected by most researchers in cereal threshing. Approach: Study proffers a solution to this issue by developing a model for threshing which in-cooperate friction. This was done … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 3 · 29 Nov 2011 · 7,837 accessesView PDFCite
Research ArticleOpen accessIn the abstractStrength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer NetworksSubbaraj Potti, Chitra ChinnasamyProblem statement: A new multi-objective approach, Strength Pareto Evolutionary Algorithm (SPEA), is presented in this paper to solve the shortest path routing problem. The routing problem is formulated as a multi-objective mathematical programming problem which attempts to minimize both cost and delay objectives simultaneously. Approach: SPEA handles the shortest path routing problem as a true multi-objective optimization problem with competing … …Journal of Computer Science, Vol. 7, Issue 1 · 16 Dec 2010 · 8,216 accessesView PDFCite
Research ArticleOpen accessIn the abstractSolving One-Dimensional Cutting Stock Problem with Discrete Demands and Capacitated Planning ObjectiveSirirat Wongprakornkul, Peerayuth CharnsethikulProblem statement: One-dimensional cutting stock problem with discrete demands and capacitated planning objective is an NP hard problem. Approach: The mathematical model with column-generation technique by a branch-and-bound procedure and the heuristic based on the first fit decreasing method are proposed. Then, both approaches were compared and some characteristics were investigated such as upper-bound value, percentage above lower-bound value, computation … …Journal of Mathematics and Statistics, Vol. 6, Issue 2 · 30 Jun 2010 · 7,947 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Intelligence Based Genetic Algorithm for Job Sequencing Problem on Parallel Mixed-Model Assembly LineA. Norozi, M.K.A. Ariffin, N. IsmailProblem statement: In the area of globalization the degree of competition in the market increased and many companies attempted to manufacture the products efficiently to overcome the challenges faced. Approach: Mixed model assembly line was able to provide continuous flow of material and flexibility with regard to model change. The problem under study attempted to describe the mathematical programming limitation … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 1 · 31 Mar 2010 · 9,341 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystem Evolving using Ant Colony Optimization AlgorithmNada M.A. AL-SalamiProblem statement: The goal of automatic programming system is to create, in an automated way, a computer program that enables a computer to solve a problem. It is difficult to build an automatic programming system: They require carefully designed specification languages and an intimate knowledge base. Determine the relevance of mathematical system theory to the problems of automatic programming and … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 7,516 accessesView PDFCite