Search Results - (( development process (problems OR problem) algorithm ) OR ( java implication based algorithm ))
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Development of Simulated Annealing Based Scheduling Algorithm for Two Machines Flow Shop Problem
Published 2015“…Viewing as optimization problem and focusing on two machines, this research aims to develop a new Simulated Annealing based scheduling algorithm, called SA2M, for flow shop problem. …”
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Process Sequencing Modeled as TSP with Precedence Constraints - A Genetic Algorithm Approach
Published 2014“…The process sequencing problem can be modeled as the travelling salesman problem with precedence constraints (TSPPC). …”
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Approximate maximum clique algorithm (AMCA): A clever technique for solving the maximum clique problem through near optimal algorithm for minimum vertex cover problem
Published 2018“…Background and Objective: The process of solving the Maximum Clique (MC) problem through approximation algorithms is harder, however, the Maximum Vertex Cover (MVC) problem can easily be solved using approximation algorithms. …”
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Genetic Algorithm for vehicle routing problem / W.Nurfahizul Ifwah W.Alias, Mohd Shaiful Sharipudin and Shamsunarnie Mohamed Zukri.
Published 2012“…Among these early applications of GA were those developed by Bagley for a game-playing program, by Rosenberg in simulating biological processes, and by Cavicchio for solving pattern-recognition problems. …”
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Research Reports -
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Some metaheuristic algorithms for solving multiple cross-functional team selection problems
Published 2022“…The developed method also demonstrated the effectiveness of the multi-criteria decision-making process when compared with the multi-objective evolutionary algorithm (MOEA). …”
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Quantum Processing Framework And Hybrid Algorithms For Routing Problems
Published 2010“…A typical component in QPU is a quantum device that runs quantum algorithms; namely Quantum Algorithm Processing Unit (QAPU). …”
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Optimization of multi-holes drilling toolpath using tiki-taka algorithm
Published 2024“…The research methodology involves problem modeling, algorithm development, and validation. …”
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Development of optimization Alghorithm for uncertain non-linear dynamical system
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…Its optimality has inspired the development of a metaheuristic algorithm called Heuristic Kalman Algorithm (HKA) in 2009. …”
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Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem
Published 2008“…New algorithms, journal papers and computerized system were also developed. …”
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Generic DNA encoding design scheme to solve combinatorial problems
Published 2015“…Currently, data encoding in DNA computing is tightly coupled with an algorithm that solves an instance of the problem. Solving another problem requires developing specific encoding and computations anew to prove DNA encoding and form the algorithm which is costly. …”
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A genetic algorithm to minimise the maximum lateness on a single machine family scheduling problem
Published 2009“…We will develop the proposed OCGA to solve the problem of minimising the total (weighted) completion time as future work. …”
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Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri
Published 2020“…Based on the capabilities of the metaheuristic algorithms, this research is proposing the enhanced Gravitational Search Algorithm (eGSA) to solve the nano-process parameter optimization problem. …”
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Particle swarm optimization (PSO) for CNC route problem
Published 2002“…The purpose of this study is to develop the application of Particle Swarm Optimization (PSO) which applicable to CNC machine route problem. …”
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Undergraduates Project Papers -
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Sports tournament scheduling using genetic algorithm / Hafeezur Syakir Abdul Motok@Mohd Ridzuan
Published 2020“…In this report, a Genetic Algorithm (GA) is applied for solving University sports timetabling problems. …”
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Implication of image processing algorithm in remote sensing and GIS applications
Published 2011“…One problem can be solved in more than one way; in this regards many alternative algorithms are developed with computational proficiency. …”
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Application of Krylov Subspace methods for solving Continuous Power Flow problem in voltage stability analysis of power system
Published 2010“…These developed algorithms are tested on 14, 118 and 300 IEEE bus systems. …”
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