scholarly journals Parameter optimization of cognitive engine based on chaos multi-objective immune algorithm

2012 ◽  
Vol 61 (5) ◽  
pp. 058801
Author(s):  
Chai Zheng-Yi ◽  
Chen Liang ◽  
Zhu Si-Feng
Keyword(s):  
Parameter Optimization ◽  
Immune Algorithm ◽  
Cognitive Engine ◽  
Multi Objective

Multi-objective evolutionary design of mold temperature control using DACE for parameter optimization

2007 ◽  
Vol 25 (1-4) ◽  
pp. 661-667 ◽  
Author(s):  
Jörn Mehnen ◽  
Thomas Michelitsch ◽  
Christian Lasarczyk ◽  
Thomas Bartz-Beielstein
Keyword(s):  
Parameter Optimization ◽  
Temperature Control ◽  
Mold Temperature ◽  
Evolutionary Design ◽  
Multi Objective

Chaos-based multi-objective immune algorithm with a fine-grained selection mechanism

2010 ◽  
Vol 15 (7) ◽  
pp. 1273-1288 ◽  
Author(s):  
Jianyong Chen ◽  
Qiuzhen Lin ◽  
Zhen Ji
Keyword(s):  
Immune Algorithm ◽  
Selection Mechanism ◽  
Multi Objective ◽  
Fine Grained

HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine Learning

2021 ◽  
Author(s):  
Aswin Kannan ◽  
Anamitra Roy Choudhury ◽  
Vaibhav Saxena ◽  
Saurabh Raje ◽  
Parikshit Ram ◽  
...  
Keyword(s):  
Machine Learning ◽  
Parameter Optimization ◽  
Multi Objective

Multi-Objective Parameter Optimization to Improve Machining Performance on Deep Drilling Process

2021 ◽  
Vol 23 (1) ◽  
pp. 1
Author(s):  
Seyyed Mohammadbagher Tabatabaei ◽  
Seyyed Ali Latifi Rostami ◽  
Yousef Shokoohi ◽  
Amin Kolahdooz ◽  
Esmaeil Damavandi
Keyword(s):  
Parameter Optimization ◽  
Drilling Process ◽  
Machining Performance ◽  
Deep Drilling ◽  
Multi Objective ◽  
Objective Parameter

A Multiple Objective Fitness Function Design Scheme for GA-Based Cognitive Engines

2015 ◽  
Vol 764-765 ◽  
pp. 444-447
Author(s):  
Keun Hong Chae ◽  
Hua Ping Liu ◽  
Seok Ho Yoon
Keyword(s):  
Genetic Algorithm ◽  
Parameter Optimization ◽  
Fitness Function ◽  
Multiple Objective ◽  
Cognitive Engine ◽  
Fitness Functions ◽  
Design Scheme ◽  
Transmission Parameter ◽  
Function Design ◽  
Single Objective

In this paper, we propose a multiple objective fitness function for cognitive engines by using the genetic algorithm (GA). Specifically, we propose four single objective fitness functions, and finally, we propose a multiple objective fitness function based on the single objective fitness functions for transmission parameter optimization. Numerical results demonstrate that we can obtain transmission parameter sets optimized for given transmission scenarios with the GA-based cognitive engine incorporating the proposed objective fitness function.

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