Search Results - (( java segmentation mining algorithm ) OR ( using solving based algorithm ))
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1
Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP
Published 2021“…Our aim is to �nd the shortest route in the delivery system by using the enhanced swap sequence based PSO. We evaluate the algorithm in terms of effectiveness and effeciency while solving TSP. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…The proposed population-based SKF algorithm and the single solution-based SKF algorithm use the scalar model of discrete Kalman filter algorithm as the search strategy to overcome these flaws. …”
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Sudoku Generator based on hybrid algorithm / Faridah Abdul Rahman
Published 2012“…Sudoku Generator is a prototype that automatically generates and solves the Sudoku. Before this, Sudoku generator has been develop using backtracking algorithm only, but this research use two algorithm which is recursive and backtracking algorithm that called as hybrid algorithm. …”
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Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions
Published 2018“…The second technique is to solve bi-objective functions by using the BOBAT algorithm. …”
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A Genetic Algorithm Based Approach for Solving the Minimum Dominating Set of Queens Problem
Published 2017“…To fill this gap, this paper proposes a simple and effective solution based on genetic algorithms to solve this classical problem. …”
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Design and Implementation of a Robot for Maze-Solving using Flood-Fill Algorithm
Published 2012“…This paper describes an implementation of a maze-solving robot designed to solve a maze based on the flood-fill algorithm. …”
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A Genetic Algorithm Based Approach for Solving the Minimum Dominating Set of Queens Problem
Published 2017“…To fill this gap, this paper proposes a simple and effective solution based on genetic algorithms to solve this classical problem. …”
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Rule-Based Multi-State Gravitational Search Algorithm for Discrete Optimization Problem
Published 2015“…In this study, rule-based multi-state gravitational search algorithm (RBMSGSA) algorithm is proposed to solve discrete combinatorial optimization problems. …”
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Solving transcendental equation using genetic algorithm / Masitah Hambari
Published 2004“…This project studies and explores the potential of using Genetic Algorithm to solve Transcendental Equation. …”
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Enhanced Harris's Hawk algorithm for continuous multi-objective optimization problems
Published 2020“…This indicates the capability of the algorithm in exploring the search space. The 2S-ENDSHHMO algorithm can be used to improve the search process of other MOSI-based algorithms and can be applied to solve MOPs in applications such as structural design and signal processing.…”
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Finite impulse response optimizers for solving optimization problems
Published 2019“…The classification of estimation-based metaheuristic algorithms has been introduced for solving optimization problems. …”
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Finite impulse response optimizers for solving optimization problems
Published 2019“…The classification of estimation-based metaheuristic algorithms has been introduced for solving optimization problems. …”
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Simulated kalman filter with modified measurement, substitution mutation and hamming distance calculation for solving traveling salesman problem
Published 2022“…Purpose – The purpose of the research is to solve Travelling Salesman Problem (TSP) using Simulated Kalman Filter (SKF) algorithm and single-solution SKF (ssSKF) algorithm based on numerical ordering technique. …”
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Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems
Published 2011“…This thesis describes the development of an efficient algorithm for solving nonlinear stochastic optimal control problems in discrete-time based on the principle of model-reality differences. …”
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Review of Multi-Objective Swarm Intelligence Optimization Algorithms
Published 2021“…The review is based on how the algorithms deal with objective functions using MOO approaches, the benchmark MOPs used in the evaluation and performance metrics. …”
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Shuffled Frog Leaping Algorithm (SFLA) for solving profit based unit commitment problem / Nurul Izzati Mohd Hanapiah
Published 2016“…This thesis presents the Shuffled Frog Leaping Algorithm (SFLA) technique is used to solve the Profit Based Unit Commitment Problem (PBUCP). …”
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Comparative Analysis of Low Discrepancy Sequence-Based Initialization Approaches Using Population-Based Algorithms for Solving the Global Optimization Problems
Published 2021“…Metaheuristic algorithms have been widely used to solve diverse kinds of optimization problems. …”
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