A note on constrained multi-objective optimization benchmark problems
We investigate the properties of widely used constrained multi-objective optimization
benchmark problems. A number of Multi-Objective Evolutionary Algorithms (MOEAs) for …
benchmark problems. A number of Multi-Objective Evolutionary Algorithms (MOEAs) for …
A bi-objective hybrid constrained optimization (HyCon) method using a multi-objective and penalty function approach
Single objective evolutionary constrained optimization has been widely researched by
plethora of researchers in the last two decades whereas multi-objective constraint handling …
plethora of researchers in the last two decades whereas multi-objective constraint handling …
On the importance of isolated infeasible solutions in the many-objective constrained NSGA-III
Recently, decomposition has gained a wide interest in solving multi-objective optimization
problems involving more than three objectives also known as Many-objective Optimization …
problems involving more than three objectives also known as Many-objective Optimization …
[PDF][PDF] Selecting Efficient Service-providers in Electric Power Distribution Industry Using Combinatorial Reverse Auction
In this paper, a combinatorial reverse auction mechanism is proposed for selecting the most
efficient service-providers for resolving sustained power interruptions in multiple regions of …
efficient service-providers for resolving sustained power interruptions in multiple regions of …
[PDF][PDF] DISPLACEMENT TRANSMISSIBILITY BASED PARAMETER IDENTIFICATION OF PDMS USING GENETIC ALGORITHM
S Agarwal, AK Sharma, R Datta, B Bhattacharya - researchgate.net
Traditional rheometers and viscometers are useful for low viscosity-viscoelastic materials
where complex shear modulus can be estimated from the measurement of shear response …
where complex shear modulus can be estimated from the measurement of shear response …
Evolutionary Bi-objective Optimization and Knowledge Extraction for Electronic and Automotive Cooling
The heat sink is one of the most widely used devices for thermal management of electronic
devices and automotive systems. The present study approaches the design of the heat sink …
devices and automotive systems. The present study approaches the design of the heat sink …
Evolutionary Bi-objective Optimization and Knowledge Extraction for Electronic and Automotive Cooling
B Bhattacharya - … , and Memetic Computing and Fuzzy and …, 2020 - books.google.com
The heat sink is one of the most widely used devices for thermal management of electronic
devices and automotive systems. The present study approaches the design of the heat sink …
devices and automotive systems. The present study approaches the design of the heat sink …
Displacement transmissibility based system identification for polydimethylsiloxane integrating a combination of mechanical modelling with evolutionary multi-objective …
In this study, displacement transmissibility based parameter identification of a silicon based
organic viscoelastic polymer, polydimethylsiloxane (PDMS) has been proposed. The vision …
organic viscoelastic polymer, polydimethylsiloxane (PDMS) has been proposed. The vision …
[引用][C] Optimización multiobjetivo basada en mallas variables
Y Salgueiro Sicilia - 2016 - Universidad Tecnológica de La …