Results 21 to 30 of about 1,131,016 (198)
On the Suitability of Genetic-Based Algorithms for Data Mining [PDF]
, 1998 Data mining has as goal to extract knowledge from large databases. A database may be considered as a search space consisting of an enormous number of elements, and a mining algorithm as a search strategy.
A Freitas, R Elmasri
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Genetic Algorithm-based Robot Path Planning [PDF]
, 2009 Nowadays, building an intelligent robot that able to move by itself from one location to another without collides with other obstacles is of interest in many applications. In the real world, condition of an environment is always unpredictable and changes
Ibrahim, Mohd Faisal
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Proceedings of the Genetic and Evolutionary Computation Conference, 2017 For genetic algorithms using a bit-string representation of length~$n$, the general recommendation is to take $1/n$ as mutation rate. In this work, we discuss whether this is really justified for multimodal functions. Taking jump functions and the $(1+1)$ evolutionary algorithm as the simplest example, we observe that larger mutation rates give ...
Huu Phuoc Le +3 more
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Optimal Portfolio Using a Genetic Algorithm [PDF]
, 2016 Distributing the amount of money to invest in each stock of a portfolio, while maximizing profit and minimizing risk is key. This project applied the method of a genetic algorithm in order to select an optimal portfolio.
Reyes, Hector
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Procedia Computer Science, 2013 AbstractThe purpose of this paper is to describe and evaluate a new algorithm for optimization. The new algorithm is named the Genetic Flock Algorithm. This algorithm is a type of hybrid of a Genetic Algorithm and a Particle Swarm Optimization Algorithm. The paper discusses strengths and weaknesses of these two algorithms.
Jeffrey Brooks, David L. Hibler
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A genetic algorithm for the mixed flow shop problem [PDF]
, 2019 In this thesis we present a new interesting version of the mixed flow shop se-quencing problem, which at the same time is a version of the classic flow shop,a very common topic on operations research.We propose a genetic algorithm to solve it that we ...
Pascual Poch, Mario
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On the Implementation and Use of a Genetic Algorithm with Genetic Acquisitions [PDF]
A genetic algorithm is convergent when genetic mutations occur on the objective function gradient direction. These genetic mutations are called genetic acquisitions (Mateescu, 2005).
Mateescu, George Daniel
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Auto-tuning for high performance autopilot design [PDF]
, 2010 A novel auto-tuning method for the RIDE controller algorithm is presented. The RIDE controller is applied to a high performance aircraft model. The tuner utilises a constrained genetic algorithm to automate the tuning process.
Brindley, Joseph +2 more
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A Seeded Genetic Algorithm for RNA Secondary Structural Prediction with Pseudoknots [PDF]
, 2008 This work explores a new approach in using genetic algorithm to predict RNA secondary structures with pseudoknots. Since only a small portion of most RNA structures is comprised of pseudoknots, the majority of structural elements from an optimal ...
Pham, Ryan
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2D multi-objective placement algorithm for free-form components [PDF]
, 2009 This article presents a generic method to solve 2D multi-objective placement problem for free-form components. The proposed method is a relaxed placement technique combined with an hybrid algorithm based on a genetic algorithm and a separation algorithm.
Bennis, Fouad +3 more
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