Population Training Algorithm
Mostrando 1-8 de 8 artigos, teses e dissertações.
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1. Design of Waveguide Structures Using Improved Neural Networks
Abstract In this paper, an improved neural networks (INN) strategy is proposed to design two waveguide filters (Pseudo-elliptic waveguide filter and Broad-band e-plane filters with improved stop-band). INN is trained by an efficient optimization algorithm called teaching–learning-based optimization (TLBO). To validate the effective of this proposed strateg
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2017-12
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2. A Forecasting Tool for Predicting Australia's Domestic Airline Passenger Demand Using a Genetic Algorithm
ABSTRACT: This study has proposed and empirically tested for the first time genetic algorithm optimization models for modelling Australia's domestic airline passenger demand, as measured by enplaned passengers (GAPAXDE model) and revenue passenger kilometres performed (GARPKSDE model). Data was divided into training and testing datasets; 74 training datasets
J. Aerosp. Technol. Manag.. Publicado em: 2015-12
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3. PROBLEM OF ALLOCATION OF CRADLES IN PORTS GRANARY SHIPS WITH SUPPLY RESTRICTIONS AND CONDITIONS FAVORABLE OF TIDE / PROBLEMA DE ALOCAÇÃO DE BERÇOS EM PORTOS GRANELEIROS COM RESTRIÇÕES DE ESTOQUE E CONDIÇÕES FAVORÁVEIS DE MARÉ
The problem of allocating berth positions for vessels in tidal grain port terminals is discussed in this work. A berth defines a specific location alongside a quay where a ship loader is available for loading or unloading vessels, accommodating only one vessel at time. In tidal ports, draft conditions depend on high tide conditions, since available depth und
Publicado em: 2010
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4. Nuvem de partículas aplicada à seleção de atributos
Abstract: The particle swarm optimization (PSO) algorithm is a recently developed metaheuristic technique and belongs to the category of swarm intelligence techniques. The swarm intelligence concepts are inspired by the social behavior of flocking animals such as swarms of birds, ants and fish school. PSO is a population based algorithm that exploits a popul
Publicado em: 2008
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5. Novas heurísticas para o problema de escalonamento de atripulações / New heuristics to crew scheduling problem
O problema de escalonamento de tripula¸coes consiste na atribui¸cao da tarefa de condu¸cao dos ve´ýculos `as tripula¸coes, de tal forma que todas as viagens realizadas por uma empresa sejam executadas com o menor custo poss´ývel. Esse processo ´e uma etapa de fundamental importancia no planejamento das opera¸coes para uma empresa do setor de transp
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 23/02/2005
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6. New heuristics to crew scheduling problem / Novas heurísticas para o problema de escalonamento de atripulações
The crew scheduling problem consists in attributing to the crews the job of driving vehicles, in such a way that trips of dierent lines assisted by a company are executed with the smallest possible cost. This process is of fundamental importance in planning the operations for the public transportation sector and belongs to a class of dicult problems. Several
Publicado em: 2005
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7. Algoritmos evolutivos hídridos com detecção de regiões promissoras em espaços de busca contínuos e discretos / Hybrid evolutionary algorithms with detection of promising areas in continuous discrete search spaces
This work presents three strategies for exploitation in hybrid evolutionary algorithms. These strategies are the base of three approaches: Population Training Heuristic (called TPH), Evolutionary Clustering Search (ECS) and the Parallel Adaptive Hierarchical Fair Competition Genetic Algorithm (called APHAC). The TPH employs problem-specific heuristics for fi
Publicado em: 2004
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8. Study of the Ground-State Geometry of Silicon Clusters Using Artificial Neural Networks
Theoretical determination of the ground-state geometry of Si clusters is a difficult task. As the number of local minima grows exponentially with the number of atoms, to find the global minimum is a real challenge. One may start the search procedure from a random distribution of atoms but it is probably wiser to make use of any available information to restr
Materials Research. Publicado em: 2002-09