Search Results - different ((generation algorithm) OR (selection algorithm))
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…In cluster generating process, the developed BBSI algorithm was used to select the best band combination for generating cluster by using Iterative self- Organizing Data Analysis (ISODATA) technique. …”
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An algorithm for the selection of planting lining technique towards optimizing land area: an algorithm for planting lining technique selection
Published 2012“…This paper presents the design of algorithm solution for selecting a planting lining technique. …”
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A novel clustering based genetic algorithm for route optimization
Published 2016“…It was also observed that the introduction of clustering based selection algorithm guaranteed the selection of cluster with the optimal solution in every generation. …”
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Comparison between Genetic Algorithm and Prey-Predator Algorithm.
“…The use of metaheuristic algorithms to different problems becomes very common after the introduction of genetic algorithm in 1975. …”
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An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion
Published 2018“…The algorithms are used to generate test cases for nine different Boolean expressions of different size and complexities. …”
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VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.
Published 2012“…Individuals for the next generation are selected by using the objective function. …”
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An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM)
Published 2024“…This study recommends a selection trade-off as the function of prediction efficiency and efficacy of the algorithm. …”
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Selection, generation and extraction of MCCTree using XMCCTree
Published 2012“…Thus, this paper presents a new algorithm that implements the same notions with different approach. …”
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Broadening selection competitive constraint handling algorithm for faster convergence
Published 2020“…In this paper, a new algorithm incorporating broadening selection strategy in competitive constraint handling paradigm for finding the optimum solution in constrained problems has been proposed, referred as Broadening Selection Competitive Constraint Handling (BSCCH). …”
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A novel Bezier curve control point search algorithm for autonomous navigation using N-order polynomial search with boundary conditions
Published 2021“…This method is able to generate the desired Bezier curve through the selected points. …”
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Evaluation of data mining models for predicting concrete strength
Published 2024“…The best performing model is selected and used to generate different sets objective-function that will be selected and used in a Particle Swarm Optimization algorithm to solve a single objective optimization problem that finds the optimal values of each concrete feature to maximize the strength of concrete. …”
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Final Year Project / Dissertation / Thesis -
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A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments
Published 2013“…There are a variety of algorithms in this class with different objectives, advantages and drawbacks. …”
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Enhance efficiency of answering XML keyword query using incompact structure of MCCTree
Published 2012“…Those processes constructed MCCTreeGenerator algorithm which will produce the same subtree as MCCTree but difference in its structure. …”
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Fingerprint verification using clonal selection algorithm / Farah Syadiyah Shamsudin
Published 2017“…However, different number of generations applied in CSA will give different result of the verification process. …”
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Application Of Genetic Algorithms For Robust Parameter Optimization
Published 2010“…The resulting child generation of individuals has a better fitness level akin to natural selection, namely evolution. …”
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Committee neural networks with fuzzy genetic algorithm.
Published 2011“…Premature convergence is a classical problem in finding optimal solution in genetic algorithms. In this paper, we propose a new technique for choosing the female chromosome during sexual selection to avoid the premature convergence in a genetic algorithm. …”
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An Experimental Study of Hyper-heuristic Selection and Acceptance Mechanism for Combinatorial T-Way Test Suite Generation
Published 2017“…Recently, many meta-heuristic algorithms have been proposed to serve as the basis of a t-way test generation strategy (where t indicates the interaction strength) including Genetic Algorithms (GA), Ant Colony Optimization (ACO), Simulated Annealing (SA), Cuckoo Search (CS), Particle Swarm Optimization (PSO), and Harmony Search (HS). …”
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Review of Nature Inspired Metaheuristic Algorithm Selection for Combinatorial t-way Testing
Published 2022“…This research paper outlines hundred and ten (110) outstanding nature-inspired metaheuristic algorithms for the last decades (2001 and 2021) such as Coronavirus Optimization Algorithm, Ebola Optimization Algorithm, Harmony Search, Tiki-Taka Algorithm, and so on. …”
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