Many-objective evolutionary algorithm based on relative non-dominance matrix
Various evolutionary algorithms have been proposed for tackling many-objective
optimization problems over the past three decades. However, these algorithms still suffer …
optimization problems over the past three decades. However, these algorithms still suffer …
Comparative study of the prediction of electrical energy from a photovoltaic system using the intelligent systems ANFIS and ANFIS-GA
LO Lara-Cerecedo, N Pitalúa-Díaz… - Revista Mexicana de …, 2023 - investigadores.unison.mx
To predict the electrical energy generation behavior in a photovoltaic system, we developed
an adaptive neuro-fuzzy inference system (ANFIS) model which integrates an optimization …
an adaptive neuro-fuzzy inference system (ANFIS) model which integrates an optimization …
Numerical study of electrostatic desalting: A detailed parametric study
MA Ramirez-Argaez, D Abreú-López… - Processes, 2022 - mdpi.com
A systematic process analysis was conducted to study the effect of the main variables in an
industrial electrostatic desalter, such as electric field intensity, wash water content, droplet …
industrial electrostatic desalter, such as electric field intensity, wash water content, droplet …
Design of Cost-Effective WSN by Minimizing Energy Consumption Using Hybrid Algorithm
This chapter proposes a design of cost-effective Wireless Sensor Network (WSN) by
minimizing energy consumption. Through a hybrid optimization technique, the multi …
minimizing energy consumption. Through a hybrid optimization technique, the multi …
Nonlinear Multi-objective Probabilistic Optimization Based on Stochastic Simulation Algorithm
X Ma - International Conference on Big Data Analytics for …, 2022 - Springer
At present, multi-optimization problems have been widely used in environmental resource
allocation, robotics research, aviation, urban construction, transportation and many other …
allocation, robotics research, aviation, urban construction, transportation and many other …