14   Artículos

 
en línea
Vedat Dogan and Steven Prestwich    
In a multi-objective optimization problem, a decision maker has more than one objective to optimize. In a bilevel optimization problem, there are the following two decision-makers in a hierarchy: a leader who makes the first decision and a follower who r... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Saile Zhang, Qingzhen Yang, Rui Wang and Xufei Wang    
The use of traditional optimization methods in engineering design problems, specifically in aerodynamic and infrared stealth optimization for engine nozzles, requires a large number of objective function evaluations, therefore introducing a considerable ... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Meng Ma, Zhirong Zhong, Zhi Zhai and Ruobin Sun    
There are hundreds of various sensors used for online Prognosis and Health Management (PHM) of LREs. Inspired by the fact that a limited number of key sensors are selected for inflight control purposes in LRE, it is practical to optimal placement of redu... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Sirote Khunkitti, Apirat Siritaratiwat and Suttichai Premrudeepreechacharn    
Since the increases in electricity demand, environmental awareness, and power reliability requirements, solutions of single-objective optimal power flow (OPF) and multi-objective OPF (MOOPF) (two or three objectives) problems are inadequate for modern po... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jean Ruppert, Marharyta Aleksandrova and Thomas Engel    
Deterioration of the searchability of Pareto dominance-based, many-objective evolutionary optimization algorithms is a well-known problem. Alternative solutions, such as scalarization-based and indicator-based approaches, have been proposed in the litera... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Giorgio Guariso and Matteo Sangiorgio    
Today, many complex multiobjective problems are dealt with using genetic algorithms (GAs). They apply the evolution mechanism of a natural population to a ?numerical? population of solutions to optimize a fitness function. GA implementations must find a ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Atthaphon Ariyarit and Masahiro Kanazaki    
In this study, efficient global optimization (EGO) with a multi-fidelity hybrid surrogate model for multi-objective optimization is proposed to solve multi-objective real-world design problems. In the proposed approach, a design exploration is carried ou... ver más
Revista: Applied Sciences    Formato: Electrónico

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