[PDF][PDF] Memetic algorithms
The term 'Memetic Algorithms'[74](MAs) was introduced in the late 80s to denote a family of
metaheuristics that have as central theme the hybridization of different algorithmic …
metaheuristics that have as central theme the hybridization of different algorithmic …
[PDF][PDF] A review on memetic algorithms and its developments
A memetic algorithm in computer science and functional research an extension of the
traditional genetic algorithm. Multiple target Memetic Algorithm for Design Improvement. The …
traditional genetic algorithm. Multiple target Memetic Algorithm for Design Improvement. The …
Parameter optimization of a multi-pass milling process using non-traditional optimization algorithms
The effective optimization of machining process parameters affects dramatically the cost and
production time of machined components as well as the quality of the final products. This …
production time of machined components as well as the quality of the final products. This …
Parameter optimization of machining processes using teaching–learning-based optimization algorithm
The optimum selection of process parameters plays a significant role to ensure quality of
product, to reduce the machining cost and to increase the productivity of any machining …
product, to reduce the machining cost and to increase the productivity of any machining …
An effective teaching-learning-based cuckoo search algorithm for parameter optimization problems in structure designing and machining processes
The optimum selection of parameters is great important for the final quality of product in
modern industrial manufacturing process. In order to achieve highly product quality, an …
modern industrial manufacturing process. In order to achieve highly product quality, an …
A modern introduction to memetic algorithms
Memetic algorithms are optimization techniques based on the synergistic combination of
ideas taken from different algorithmic solvers, such as population-based search (as in …
ideas taken from different algorithmic solvers, such as population-based search (as in …
Optimization of production time in the multi-pass milling process via a Robust Grey Wolf Optimizer
S Khalilpourazari, S Khalilpourazary - Neural Computing and Applications, 2018 - Springer
In order to optimize multi-pass milling process, selection of optimal values for the parameters
of the process is of great importance. The mathematical model for optimization of multi-pass …
of the process is of great importance. The mathematical model for optimization of multi-pass …
Optimization of cutting parameters for cutting force in shoulder milling of Al7075-T6 using response surface methodology and genetic algorithm
M Subramanian, M Sakthivel, K Sooryaprakash… - Procedia …, 2013 - Elsevier
This paper aims at developing a statistical model to predict cutting force in terms of
machining parameters such as cutting speed, cutting feed rate and axial depth of cut …
machining parameters such as cutting speed, cutting feed rate and axial depth of cut …
Optimization of multi-pass face-milling via harmony search algorithm
O Zarei, M Fesanghary, B Farshi, RJ Saffar… - Journal of materials …, 2009 - Elsevier
This study presents a harmony search (HS) algorithm to determine the optimum cutting
parameters for multi-pass face-milling. The optimum value of machining parameters …
parameters for multi-pass face-milling. The optimum value of machining parameters …
SCWOA: an efficient hybrid algorithm for parameter optimization of multi-pass milling process
S Khalilpourazari, S Khalilpourazary - Journal of Industrial and …, 2018 - Taylor & Francis
In order to minimize total production time in multi-pass milling process, selecting optimal
values of the process parameters is of great importance. The parameter optimization model …
values of the process parameters is of great importance. The parameter optimization model …