A5031342561- Advanced Multi-Objective Optimization Algorithms
- Topology Optimization in Engineering
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Probabilistic and Robust Engineering Design
- BIM and Construction Integration
- Structural Analysis and Optimization
- Structural Load-Bearing Analysis
- Structural Health Monitoring Techniques
- Infrastructure Maintenance and Monitoring
- Artificial Immune Systems Applications
- Composite Structure Analysis and Optimization
- Wind Energy Research and Development
- Structural Engineering and Vibration Analysis
- Architecture and Computational Design
- T-cell and B-cell Immunology
- Advanced Aircraft Design and Technologies
- Dental Implant Techniques and Outcomes
- Building Energy and Comfort Optimization
- Wind and Air Flow Studies
- Manufacturing Process and Optimization
- Dental Radiography and Imaging
- Non-Destructive Testing Techniques
- Multisensory perception and integration
- Plant Surface Properties and Treatments
Universidade Federal de Juiz de Fora
2016-2025
Federal Center for Technological Education of Minas Gerais
2022
Universidade Federal de Viçosa
2021
Polícia Judiciária
2020
Principia Ingenieros Consultores
2020
Abstract A parameter‐less adaptive penalty scheme for genetic algorithms applied to constrained optimization problems is proposed. Using feedback from the evolutionary process procedure automatically defines a parameter each constraint. The user thus relieved burden of having determine sensitive parameter(s) when dealing with every new problem. shown be effective and robust test computation literature as well several structural engineering literature. Copyright © 2003 John Wiley & Sons, Ltd.
A genetic algorithm (GA) is hybridized with an artificial immune system (AIS) as alternative to tackle constrained optimization problems in engineering. The AIS inspired the clonal selection principle and embedded into a standard GA search engine order help move population feasible region. procedure applied mechanical engineering available literature compared other techniques.
A genetic algorithm (GA) is hybridized with an artificial immune system (AIS) as alternative to tackle constrained optimization problems in engineering. The AIS inspired the clonal selection principle and embedded into a standard GA search engine order help move population feasible region. procedure applied mechanical engineering available literature compared other techniques.
The most commonly used objective function in structural optimization is weight minimization. Nodal displacements, compliance, the first natural frequency of vibration, critical load factor concerning global stability, and others can also be considered additional functions. This paper aims to propose seven innovative many-objective problems (MOSOPs) applied 25-, 56-, 72-, 120-, 582-bar trusses, not yet presented literature, which main objectives, addition structure’s weight, refer structures’...
Abstract One variant of the ant colony optimization (ACO) metaheuristic, known as rank‐based system (RBAS), is proposed for weight minimization structures involving discrete design variables. Stress and displacements constraints are handled using a penalty technique, structural analysis performed by finite element method. Results obtained several problems show that RBAS algorithm implemented effective competitive when compared with results found genetic algorithms another variant. Copyright...
Resumo Métodos de aprendizagem máquina podem ser usados para auxiliar o projeto edifícios energeticamente eficientes, reduzindo cargas energia enquanto se mantém a temperatura interna desejada. Eles operam estimando uma resposta partir um conjunto entradas tais como geometria do edifício, propriedades material, custos projeto, condições tempo no local e impacto ambiental. Esses métodos requerem fase treinamento que considera base dados construída variáveis selecionadas domínio problema. Este...