Search Results - (( java application customization algorithm ) OR ( using cost function algorithm ))
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On network flow problems with convex cost
Published 2004“…To address this problem, we derive the optimality conditions for minimising convex and differentiable cost functions, and devise an algorithm based on the primal-dual algorithm commonly used in linear programming. …”
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Economic power dispatch solution with non-smooth cost functions using differential evolution: article / Muhammad Firdaus Abd Rahim
Published 2011“…This thesis proposes a solution for Economic Dispatch problems with non-smooth cost functions using Differential Evolution (DE) algorithm. …”
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FaaSBid: an auction-based model for Function as a Service in edge-fog environments using unallocated resources
Published 2026“…To initialise function placement, Fitness-Based Swap (FBSW) algorithm is proposed which places functions based on pre-defined information such as function size, function maximum execution time, and storage cost. …”
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Economic power dispatch solution with non-smooth cost functions using differential evolution / Muhammad Firdaus Abd Rahim
Published 2011“…This thesis proposes a solution for Economic Dispatch problems with non-smooth cost functions using Differential Evolution (DE) algorithm. …”
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Thesis -
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Optimization Of Pid Controller Using Grey Wolf Optimzer And Dragonfly Algorithm
Published 2018“…Last system is based on the brushed DC motor. Objective function in this research, cost function was chosen. …”
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Monograph -
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A Preliminary Study on Camera Auto Calibration Problem Using Bat Algorithm
Published 2013“…The cost function used in this paper is based on the Kruppa’s equation. …”
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Economic dispatch with piecewise linear function and line loss / Amir Ashraf Mohd Johari
Published 2014“…A generalized computer algorithm is developed which uses an iterative solution of lineaized cost function to find the economic dispatch of the power system generation. …”
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Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms
Published 2020“…The objective functions are loss of load probability (LLP) and life cycle cost (LCC) and levelized cost of energy (LCE). …”
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Realization of Generalized RBF Network
Published 2003“…The contributions of this work are: i) improvement on the standard radial basis function network architecture, ii) proposed a new cost function for classification, iii) hidden units feature subset selection algorithm, and iv) optimizing the neural classifier using the genetic algorithm with a new cost function. …”
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Proceeding -
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Congestion management based optimization technique using bee colony
Published 2023“…The study involved the development of bee colony algorithm in addressing congestion management, considering cost optimization as the objective function. …”
Conference Paper -
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Modification of the ant colony optimization algorithm for solving multi-agent task allocation problem in agricultural application
Published 2024“…By employing such a function, simulation results show that the total resource used by the agents and total communication cost can be optimized. …”
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Optimal sizing of static VAR compensator using bees algorithm for cost minimization
Published 2020“…In order to demonstrate the effectiveness of the algorithm, IEEE26 Bus system is used.…”
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Solving economic load dispatch problem using genetic algorithm method / Norliza Kamarulzaman
Published 2009“…In this study, Genetic Algorithm method is used to overcome this problem. …”
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Cost minimum proportioning of non-Slump concrete mix using genetic algorithms
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A comparative study of multi-objective optimal power flow based on particle swarm, evolutionary programming, and genetic algorithm
Published 2015“…This study presents the programming results of the nine essential single-objective and multi-objective functions of OPF problem. The considered objective functions include cost, active power loss, voltage stability index, and emission. …”
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A multiobjective simulated Kalman filter optimization algorithm
Published 2018“…The algorithm is tested with various multiobjective benchmark functions and compared with Non-Dominated Sorting Genetic Algorithm 2 (NSGA2) multiobjective algorithm. …”
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A Kalman-Filter-Based Sine-Cosine Algorithm
Published 2019“…The algorithm is tested with various benchmark functions and compared with the original SCA algorithm. …”
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