Hybrid Genetic Algorithm
Mostrando 1-12 de 36 artigos, teses e dissertações.
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1. Synthesis of Sparse Arrays Based On CIGA (Convex Improved Genetic Algorithm)
Abstract In this paper, a novel hybrid algorithm on beam pattern synthesis of sparse arrays is proposed, which aims at minimizing the peak sidelobe level (PSLL). Sparse arrays can provide higher spatial resolution and relatively lower sidelobe than general arrays, but it is necessary to solve the multi-constraint problem of nonconvex nonlinear. Thus, we prop
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2020-12
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2. Synthesis of New Reconfigurable Limited Size FSS Structures Using an Improved Hybrid Particle Swarm Optimization
Abstract This paper describes a new design methodology for reconfigurable printed circuits with limited size, using an improved hybrid particle swarm optimization (HPSO) algorithm, reducing the search space by the definition of negative zones (NZ), regions where the swarm of particles should not travel. The proposed design methodology (HPSO-NZ) is used in th
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 19/06/2019
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3. Free vibration analysis and design optimization of SMA/Graphite/Epoxy composite shells in thermal environments
Abstract Composite shells, which are being widely used in engineering applications, are often under thermal loads. Thermal loads usually bring thermal stresses in the structure which can significantly affect its static and dynamic behaviors. One of the possible solutions for this matter is embedding Shape Memory Alloy (SMA) wires into the structure. In the
Lat. Am. j. solids struct.. Publicado em: 23/04/2018
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4. A New Approach to Multidisciplinary Design Optimization of Solid Propulsion System Including Heat Transfer and Ablative Cooling
ABSTRACT: The optimum design of a solid propulsion system consists of optimization of various disciplines including structure, aerothermodynamics, heat transfer, and grain geometry. In this paper, an efficient model of every discipline has been developed, and a suitable framework is introduced for these hard-coupled disciplines. Hybrid optimization algorithm
J. Aerosp. Technol. Manag.. Publicado em: 2017-03
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5. DEVELOPMENT OF A HYBRID FUZZY GENETIC ALGORITHM MODEL FOR SOLVING TRANSPORTATION SCHEDULING PROBLEM
ABSTRACT There has been an increasing public demand for passenger rail service in the recent times leading to a strong focus on the need for effective and efficient use of resources and managing the increasing passenger requirements, service reliability and variability by the railway management. Whilst shortening the passengers’ waiting and travelling time
JISTEM J.Inf.Syst. Technol. Manag.. Publicado em: 2015-12
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6. Genetic diversity assessed by microsatellite markers in sweet corn cultivars
Information on genetic diversity is essential to the characterization and utilization of germplasm. The genetic diversity of twenty-two sweet corn cultivars (seventeen open-pollinated varieties, OPV, and five hybrids, H) was investigated by applying simple sequence repeat markers. A total of 257 primers were tested, of which 160 were found to be usable in te
Sci. agric. (Piracicaba, Braz.). Publicado em: 2015-12
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7. Wavelength assignment using a hybrid evolutionary computation to reduce cross-phase modulation
In this paper, we propose a hybrid methodology based on Graph-Coloring and Genetic Algorithm (GA) to solve the Wavelength Assignment (WA) problem in optical networks, impaired by physical layer effects. Our proposal was developed for a static scenario where the physical topology and traffic matrix are known a priori. First, we used fixed shortest-path routin
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2014-06
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8. Hybrid GRASP heuristics for the phylogeny problem combining path-relinking and genetic algorithm as an intensification strategy
A phylogeny is a tree that relates taxonomic units based on their similarity over a set of characteristics. The phylogeny problem under the parsimony criterion consists in finding a phylogeny with a minimum number of evolutionary steps. We propose hybrid heuristic methods - based on GRASP, path-relinking and genetic algorithm methodologies - to build a phylo
Prod.. Publicado em: 23/08/2013
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9. Desenvolvimento e avaliação de algoritmos para composição dinâmica de web services baseada em QoS / Development and evaluation of algoritms for the QoS-aware web services composition problem
This MSc dissertation addresses the QoS-aware Web services composition (QWSC) problem. The field of e-commerce systems was selected because it comprises an area in wide expansion, both in national and international scenarios. Furthermore, e-commerce systems can benefit from QWSC due to its interoperability and compliance to the requirements of quality of ser
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 05/06/2012
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10. A hybrid methodology to solve the container loading problem with weight distribution and cutting problems
Transport of goods has represented an important role in economic development throughout the history and ship containerization brought great advantages. Its invention in mid-1950s brought down the cost of transport and reduced time for loading and unloading cargo. Consequently, it increased efficiency of port working and reduced handling cargo to hours instea
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 27/09/2011
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11. Sistemas de detecção de intrusão com técnicas de inteligência artificial / Intrusion detection systems with artificial inteligence technics
Due the increase of the amount of important information on computer networks, security has became primordial to ensure the integrity, confidentiality and availability of data traffic. To improve security, there are useful tools such as Firewalls and Intrusion Detection Systems (IDS). Currently, methods of Artificial Intelligence (AI) are used to improve thes
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/02/2011
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12. PROPOSTA DE UM SISTEMA HÍBRIDO COMPOSTO POR REDES NEURAIS ARTIFICIAIS E ALGORÍTMOS GENÉTICOS PARA O TRATAMENTO DE ALARMES E O DIAGNÓSTICO DE FALTAS EM SISTEMAS ELÉTRICOS DE POTÊNCIA / PROPOSAL OF A HYBRID SYSTEM COMPOSED OF ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHMS FOR THE TREATMENT OF ALARMS, AND FAULT DIAGNOSIS IN ELECTRICAL POWER SYSTEM
This work proposes a hybrid system for alarm processing and fault diagnosis in electrical networks which use two methods of computational intelligence: Generalized Regression Neural Network and Genetic Algorithms. The neural network has the function of processing the set of received alarms and present as a response the characteristic(s) event(s), using for t
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 18/02/2011