Search Results - (( sequence optimization _ algorithm ) OR ( using factorization based algorithm ))
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1
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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2
An improved particle swarm optimization algorithm for data classification
Published 2023“…Particle Swarm Optimization (PSO) is a metaheuristic algorithm based on swarm intelligence, widely used to solve global optimisation problems throughout the real world. …”
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3
Modelling of Assembly Sequence Planning Problem using Base Part Concept
Published 2018“…Recently, various research works have been done to optimize the ASP problem using different optimization algorithms. …”
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4
Optimization of Assembly Sequence Planning Using Soft Computing Approaches: A Review
Published 2019“…The literature review was conducted through finding related published research papers specifically on ASP that used soft computing approaches. This review focused on ASP modeling approach, optimization algorithms and optimization objectives. …”
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5
Modelling of assembly sequence planning problem using base part concept
Published 2018“…Recently, various research works have been done to optimize the ASP problem using different optimization algorithms. …”
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6
Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach
Published 2022“…Hence, this research’s objective aimed to propose an optimization strategy based on Structural Modification and Optimizing Training Network for improving the lacking of accuracy of response in the chatbot application, to propose the algorithm enhancement to improve the current attention mechanism in the Attentive Sequence-to-Sequence model and the network’s training optimization of its inability to memorize the dialogue history, and lastly, to evaluate the accuracy of response of the proposed solution through data training on loss function and real data testing. …”
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7
Performance optimization of simultaneous machine and automated guided vehicle scheduling using fuzzy logic controller based genetic algorithm.
Published 2012“…This paper presents a job-based GA that is based on job sequencing. Through the optimization, the FLC is used to control the GAoperators (crossover and mutation rate) simultaneous to solve the AGV scheduling problem…”
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8
Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…Also, this research involves in developing a machine-learning system and program via genetic algorithm that is capable of performing independent learning capability and optimization for scanning sequence using novel GA operators. …”
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9
Estimation of Transformers Health Index Based on Condition Parameter Factor and Hidden Markov Model
Published 2023Conference Paper -
10
Methodology to develop heuristic for re-entrant flow shop with two potential dominant machines using bottleneck approach
Published 2012“…Using these correction factors, a constructive heuristic was developed to solve for near-optimal scheduling sequence. …”
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11
Flash flood evacuation with discrete particle swarm optimization / Marina Yusoff
Published 2011“…A discrete particle swarm optimization (DPSO) algorithm is proposed to solve the EVRP and the EVRP. …”
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12
Flash flood evacuation with discrete particle swarm optimization / Marina Yusoff
Published 2012“…A discrete particle swarm optimization (DPSO) algorithm is proposed to solve the EVRP and the EVRP. …”
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Book Section -
13
Hybrid optimisation electromagnetic interference shielding effectiveness:mechanical and physical performance of plaster mortar containing palm oil fuel ash using taguchi grey and t...
Published 2019“…Pre-experiment data is optimized based on Taguchi-grey and Flower Pollination Algorithm (FPA) methods. …”
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14
Application of genetic algorithm methods to optimize flowshop sequencing problem
Published 2008“…Application of genetic algorithm method to optimize flow shop sequencing problem as the title of this project is the study about the method used in order to optimize flow shop sequencing problem. …”
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Undergraduates Project Papers -
15
Assembly sequence optimization using the bees algorithm
Published 2022“…As a result, the Bees Algorithm outperforms other algorithms in dealing with the multi-modal optimization problem of assembly sequence optimization.…”
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Book Chapter -
16
Dynamic transmit antenna shuffling scheme for hybrid multiple-input multiple-output in layered architecture
Published 2010“…It is shown that the computational complexity of proposed FAST-QR detection algorithm is approximately 48 % lower than the conventional QR decomposition detection algorithm. …”
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17
An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP
Published 2021“…To evaluate the proposed algorithm, the solutions to the TSP problem obtained from the proposed algorithm and swap sequence based PSO are compared in terms of the best solution, mean solution, and time taken to converge to the optimal solution. …”
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18
Assessment of integrated assembly sequence planning and line balancing optimization using metaheuristic algorithms
Published 2024“…These algorithms include Genetic Algorithm (GA), Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO). …”
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19
Gravitational Search Algorithm for Assembly Sequence Planning
Published 2014“…Thus, it is needed to find the optimal sequence from the feasible assembly sequences. …”
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20
Application of the Bees Algorithm to find optimal drill path sequence
Published 2024“…These results show that the Bees Algorithm can be an alternative approach to find the optimal drilling sequence.…”
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Proceeding Paper
