Search Results - ((optimization problems) OR (optimization model))
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1
Testing of linear models for optimal control of second-order dynamical system based on model-reality differences
Published 2021“…Consequently, a modified model-based optimal control problem has resulted. …”
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2
Testing of linear models for optimal control of second-order dynamical system based on model-reality differences
Published 2021“…Consequently, a modified model-based optimal control problem has resulted. …”
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3
Testing of linear models for optimal control of second-order dynamical system based on model-reality differences
Published 2021“…Consequently, a modified model-based optimal control problem has resulted. …”
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4
Application of conjugate gradient approach for nonlinear optimal control problem with model-reality differences
Published 2018“…Specifically, the modified model-based optimal control problem is resulted. …”
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5
Application of conjugate gradient approach for nonlinear optimal control problem with model-reality difference
Published 2018“…Specifically, the modified model-based optimal control problem is resulted. …”
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6
An optimal homotopy asymptotic method for finding solutions of non-linear fractional mathematical models / Okundalaye Oluwaseun Olumide
Published 2022“…In the third model, a fractional mathematical model for non-linear constrained optimal control problems is developed. …”
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7
Modelling and Optimization of Asymmetric Vehicle Routing Problem Using Particle Swarm Optimization Algorithm
Published 2021“…Specific optimization model and algorithm were developed to solve the problem. …”
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Conference or Workshop Item -
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Integrated optimization of mixed-model assembly sequence planning and line balancing using multi-objective discrete particle swarm optimization
Published 2019“…The originality of this research is on the new variant of integrated ASP and ALB problem. This paper is the first published research to model and optimize the integrated ASP and ALB research for mixed-model assembly problem.…”
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9
Capacitated vehicle-routing problem model for scheduled solid waste collection and route optimization using PSO algorithm
Published 2023“…Costs; Efficiency; Routing algorithms; Scheduling; Solid wastes; Vehicle routing; Capacitated vehicle routing problem; Modified particle swarm optimization; Optimized models; Route optimization; Solid waste collection; Threshold waste level; Travel distance; Waste collection; Particle swarm optimization (PSO); fuel; algorithm; numerical model; optimization; routing; solid waste; transport vehicle; waste disposal; algorithm; Article; capacitated vehicle routing problem model; controlled study; cost; decision making; environmental impact; motor vehicle; nonbiological model; particle swarm optimization algorithm; priority journal; problem solving; process optimization; socioeconomics; solid waste management; travel; validation process; economics; solid waste; waste management; Algorithms; Costs and Cost Analysis; Solid Waste; Waste Management…”
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10
A gauss-newton approach for nonlinear optimal control problem with model-reality differences
Published 2017“…By feed backing the updated control trajectory into the dynamic system, the iterative solution of the model used could approximate to the correct optimal solution of the original optimal control problem, in spite of model-reality differences. …”
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Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems
Published 2011“…Instead of solving the original optimal control problem, the model-based optimal control problem is solved. …”
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12
Optimal Fuzzy Control With Application To discounted cost Production Inventory Planning Problem
Published 2010“…We developed an equation of optimality in case of fuzzy optimal control problem. …”
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Modeling and optimization of cost-based hybrid flow shop scheduling problem using metaheuristics
Published 2023“…This paper aims to develop a computational model and test the exploration capability of metaheuristics algorithms while optimizing the CHFS problem. …”
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Modelling and optimization of assembly line balancing with multi-resource constraints
Published 2013“…This research aim to model and optimize the assembly line balancing (ALB) with resource constraints. …”
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Research Book Profile -
15
Optimization of multi-holes drilling toolpath using tiki-taka algorithm
Published 2024“…Therefore, this research introduces the TikiTaka Algorithm (TTA) to address these challenges and optimize the toolpath for MDMT problems. The study aims to model the MDMT toolpath using the Traveling Salesman Problem (TSP) concept, apply TTA to optimize this model, and validate the model and algorithm through machining experiments on this problem. …”
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16
Optimization of two sided assembly line balancing with resource constraint
Published 2022“…This research aims to model and optimize 2S-ALB with resource constraints. …”
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17
Discrete-time nonlinear stochastic optimal control problem based on stochastic approximation approach
Published 2018“…Once the convergence is achieved, the iterative solution approximates to the true optimal solution of the original optimal control problem, in spite of model-reality differences. …”
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18
Particle swarm optimization technique for optimal economic load dispatch / Muhammad Hilmi Nordin
Published 2014“…PSO is an algorithm that is modeled on swarm intelligence that finds a solution to an optimization problem in a search space, or model, and predicts social behavior in the presence of objectives. …”
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Thesis -
19
Optimization of mixed-model assembly line balancing problem with resource constraints
Published 2017“…In this study, mixed-model assembly line balanuinfi problem is used to- analyze the performance of four evolutionary algorithms (E'As), namely particle swarm optimization (PSO), simulated annealing (SA), ant colony optimization (ACO) and genetic algorithm (GA). …”
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Book Chapter -
20
Modeling and optimization of multi-holes drilling path using Particle Swarm Optimization
Published 2018“…Later the problem is optimized using Particle Swarm Optimization (PSO) and compared with other algorithms including the new metaheuristics algorithms. …”
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